RapidEars 2.04 – crash when using within Cocos2d

[anhtu]

Hello Halle,

I have implemented RapidEars within Cocos2d. Sometimes, the crash occurs randomly. But, if I use Rejecto, it doesn’t occur anymore.
Here’s the call stack from the cashed thread:

#0	0x000000010049e260 in ___lldb_unnamed_function147$$StampDrill ()
#1	0x000000010049b6cc in ngram_ng_score ()
#2	0x000000010049b820 in ngram_tg_score ()
#3	0x00000001004da308 in ngram_fwdflat_search ()
#4	0x00000001004a12ec in ___lldb_unnamed_function155$$StampDrill ()
#5	0x0000000100494948 in ps_end_utt ()
#6	0x000000010048c49c in ___lldb_unnamed_function78$$StampDrill ()
#7	0x000000010048c758 in ___lldb_unnamed_function82$$StampDrill ()
#8	0x00000001013b0f94 in _dispatch_client_callout ()
#9	0x00000001013c8848 in _dispatch_source_latch_and_call ()
#10	0x00000001013b31c0 in _dispatch_source_invoke ()
#11	0x00000001013be5d4 in _dispatch_root_queue_drain ()
#12	0x00000001013c0248 in _dispatch_worker_thread3 ()
#13	0x000000019496122c in _pthread_wqthread ()

Sometimes it occurs after pocketsphinxDidDetectFinishedSpeech, sometimes after
`there is a request to change to the language model file /var/mobile/Containers/Data/Application/22012A17-E9BF-48DF-BA02-CA98251E3060/Library/Caches/lession_vocal_I_1.DMP
2015-08-03 18:34:56.095 StampDrill[49123:4165468] The language model ID is 1438601696`

I searched around and got this topic https://www.politepix.com/forums/topic/mixing-jsgf-and-default-using-changelanguagemodeltofile/ has the call stack like mine.

How can I fix this problem?(for RapidEars)

Thank you.

[Halle Winkler]

Welcome,

Please check out the post Please read before you post – how to troubleshoot and provide logging info here so you can see how to turn on and share the logging that provides troubleshooting information for this kind of issue.

[anhtu]

Sorry, here is the log (removed my logs):

2015-08-03 19:27:13.864 APP_NAME[49252:4174534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-03 19:27:13.920 APP_NAME[49252:4174534] Starting dynamic language model generation

2015-08-03 19:27:14.062 APP_NAME[49252:4174534] Done creating language model with CMUCLMTK in 0.141510 seconds.
2015-08-03 19:27:14.064 APP_NAME[49252:4174534] I'm done running performDictionaryLookup and it took 0.000200 seconds
2015-08-03 19:27:14.071 APP_NAME[49252:4174534] I'm done running dynamic language model generation and it took 0.200374 seconds
2015-08-03 19:27:14.072 APP_NAME[49252:4174534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-03 19:27:14.080 APP_NAME[49252:4174534] cocos2d: surface size: 2048x1536
2015-08-03 19:27:15.083 APP_NAME[49252:4174534] User gave mic permission for this app.
2015-08-03 19:27:15.085 APP_NAME[49252:4174534] Valid setSecondsOfSilence value of 0.200000 will be used.
2015-08-03 19:27:15.087 APP_NAME[49252:4174708] Starting listening.
2015-08-03 19:27:15.088 APP_NAME[49252:4174708] about to set up audio session
2015-08-03 19:27:15.246 APP_NAME[49252:4174642] Audio route has changed for the following reason:
2015-08-03 19:27:15.249 APP_NAME[49252:4174642] There was a category change. The new category is AVAudioSessionCategoryPlayAndRecord
2015-08-03 19:27:15.256 APP_NAME[49252:4174642] This is not a case in which OpenEars notifies of a route change. At the close of this function, the new audio route is ---SpeakerMicrophoneBuiltIn---. The previous route before changing to this route was <AVAudioSessionRouteDescription: 0x170c118b0,
inputs = (null);
outputs = (
           "<AVAudioSessionPortDescription: 0x170c11810, type = Speaker; name = Speaker; UID = Built-In Speaker; selectedDataSource = (null)>"
           )>.
2015-08-03 19:27:15.268 APP_NAME[49252:4174708] done starting audio unit
INFO: cmd_ln.c(702): Parsing command line:
\
-lm /var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/lession_vocal_A_0.DMP \
-vad_prespeech 10 \
-vad_postspeech 20 \
-vad_threshold 2.000000 \
-remove_noise yes \
-remove_silence yes \
-bestpath yes \
-lw 6.500000 \
-dict /var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/lession_vocal_A_0.dic \
-hmm /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-allphone
-allphone_ci	no		no
-alpha		0.97		9.700000e-01
-argfile
-ascale		20.0		2.000000e+01
-aw		1		1
-backtrace	no		no
-beam		1e-48		1.000000e-48
-bestpath	yes		yes
-bestpathlw	9.5		9.500000e+00
-bghist		no		no
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		8.0
-compallsen	no		no
-debug				0
-dict				/var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/lession_vocal_A_0.dic
-dictcase	no		no
-dither		no		no
-doublebw	no		no
-ds		1		1
-fdict
-feat		1s_c_d_dd	1s_c_d_dd
-featparams
-fillprob	1e-8		1.000000e-08
-frate		100		100
-fsg
-fsgusealtpron	yes		yes
-fsgusefiller	yes		yes
-fwdflat	yes		yes
-fwdflatbeam	1e-64		1.000000e-64
-fwdflatefwid	4		4
-fwdflatlw	8.5		8.500000e+00
-fwdflatsfwin	25		25
-fwdflatwbeam	7e-29		7.000000e-29
-fwdtree	yes		yes
-hmm				/private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle
-input_endian	little		little
-jsgf
-kdmaxbbi	-1		-1
-kdmaxdepth	0		0
-kdtree
-keyphrase
-kws
-kws_plp	1e-1		1.000000e-01
-kws_threshold	1		1.000000e+00
-latsize	5000		5000
-lda
-ldadim		0		0
-lextreedump	0		0
-lifter		0		0
-lm				/var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/lession_vocal_A_0.DMP
-lmctl
-lmname
-logbase	1.0001		1.000100e+00
-logfn
-logspec	no		no
-lowerf		133.33334	1.333333e+02
-lpbeam		1e-40		1.000000e-40
-lponlybeam	7e-29		7.000000e-29
-lw		6.5		6.500000e+00
-maxhmmpf	10000		10000
-maxnewoov	20		20
-maxwpf		-1		-1
-mdef
-mean
-mfclogdir
-min_endfr	0		0
-mixw
-mixwfloor	0.0000001	1.000000e-07
-mllr
-mmap		yes		yes
-ncep		13		13
-nfft		512		512
-nfilt		40		40
-nwpen		1.0		1.000000e+00
-pbeam		1e-48		1.000000e-48
-pip		1.0		1.000000e+00
-pl_beam	1e-10		1.000000e-10
-pl_pbeam	1e-5		1.000000e-05
-pl_window	0		0
-rawlogdir
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-sendump
-senlogdir
-senmgau
-silprob	0.005		5.000000e-03
-smoothspec	no		no
-svspec
-tmat
-tmatfloor	0.0001		1.000000e-04
-topn		4		4
-topn_beam	0		0
-toprule
-transform	legacy		legacy
-unit_area	yes		yes
-upperf		6855.4976	6.855498e+03
-usewdphones	no		no
-uw		1.0		1.000000e+00
-vad_postspeech	50		20
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-var
-varfloor	0.0001		1.000000e-04
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wbeam		7e-29		7.000000e-29
-wip		0.65		6.500000e-01
-wlen		0.025625	2.562500e-02

INFO: cmd_ln.c(702): Parsing command line:
\
-nfilt 25 \
-lowerf 130 \
-upperf 6800 \
-feat 1s_c_d_dd \
-svspec 0-12/13-25/26-38 \
-agc none \
-cmn current \
-varnorm no \
-transform dct \
-lifter 22 \
-cmninit 40

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-alpha		0.97		9.700000e-01
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		40
-dither		no		no
-doublebw	no		no
-feat		1s_c_d_dd	1s_c_d_dd
-frate		100		100
-input_endian	little		little
-lda
-ldadim		0		0
-lifter		0		22
-logspec	no		no
-lowerf		133.33334	1.300000e+02
-ncep		13		13
-nfft		512		512
-nfilt		40		25
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-smoothspec	no		no
-svspec				0-12/13-25/26-38
-transform	legacy		dct
-unit_area	yes		yes
-upperf		6855.4976	6.800000e+03
-vad_postspeech	50		20
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wlen		0.025625	2.562500e-02

INFO: acmod.c(252): Parsed model-specific feature parameters from /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/feat.params
INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='current', VARNORM='no', AGC='none'
INFO: cmn.c(143): mean[0]= 12.00, mean[1..12]= 0.0
INFO: acmod.c(171): Using subvector specification 0-12/13-25/26-38
INFO: mdef.c(518): Reading model definition: /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/mdef
INFO: mdef.c(531): Found byte-order mark BMDF, assuming this is a binary mdef file
INFO: bin_mdef.c(336): Reading binary model definition: /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/mdef
INFO: bin_mdef.c(516): 46 CI-phone, 168344 CD-phone, 3 emitstate/phone, 138 CI-sen, 6138 Sen, 32881 Sen-Seq
INFO: tmat.c(206): Reading HMM transition probability matrices: /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/transition_matrices
INFO: acmod.c(124): Attempting to use SCHMM computation module
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/means
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/variances
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(354): 0 variance values floored
INFO: s2_semi_mgau.c(904): Loading senones from dump file /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/sendump
INFO: s2_semi_mgau.c(928): BEGIN FILE FORMAT DESCRIPTION
INFO: s2_semi_mgau.c(991): Rows: 512, Columns: 6138
INFO: s2_semi_mgau.c(1023): Using memory-mapped I/O for senones
INFO: s2_semi_mgau.c(1294): Maximum top-N: 4 Top-N beams: 0 0 0
INFO: dict.c(320): Allocating 4110 * 32 bytes (128 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/lession_vocal_A_0.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 1 words read
INFO: dict.c(342): Reading filler dictionary: /private/var/mobile/Containers/Bundle/Application/204102C4-D4A7-4B27-ABC4-9072CA281718/APP_NAME.app/AcousticModelEnglish.bundle/noisedict
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(345): 9 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 46^3 * 2 bytes (190 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 51152 bytes (49 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 51152 bytes (49 KiB) for single-phone word triphones
INFO: ngram_model_arpa.c(79): No \data\ mark in LM file
INFO: ngram_model_dmp.c(166): Will use memory-mapped I/O for LM file
INFO: ngram_model_dmp.c(220): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_dmp.c(266):        3 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(312):        2 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(338):        1 = LM.trigrams read
INFO: ngram_model_dmp.c(363):        2 = LM.prob2 entries read
INFO: ngram_model_dmp.c(383):        3 = LM.bo_wt2 entries read
INFO: ngram_model_dmp.c(403):        2 = LM.prob3 entries read
INFO: ngram_model_dmp.c(431):        1 = LM.tseg_base entries read
INFO: ngram_model_dmp.c(487):        3 = ascii word strings read
INFO: ngram_search_fwdtree.c(99): 0 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 11 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 11 single-phone words
INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 128
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
2015-08-03 19:27:15.363 APP_NAME[49252:4174708] Restoring SmartCMN value of 55.322021
2015-08-03 19:27:15.363 APP_NAME[49252:4174708] Listening.
2015-08-03 19:27:15.364 APP_NAME[49252:4174708] Project has these words or phrases in its dictionary:
A
2015-08-03 19:27:15.364 APP_NAME[49252:4174708] Recognition loop has started
2015-08-03 19:27:15.368 APP_NAME[49252:4174534] Pocketsphinx is now listening.
2015-08-03 19:27:20.707 APP_NAME[49252:4174708] Speech detected...
2015-08-03 19:27:20.708 APP_NAME[49252:4174708] Pocketsphinx heard "" with a score of (-1580) and an utterance ID of 0.

2015-08-03 19:27:20.802 APP_NAME[49252:4174708] Pocketsphinx heard "" with a score of (-2757) and an utterance ID of 1.
2015-08-03 19:27:20.897 APP_NAME[49252:4174708] Pocketsphinx heard "" with a score of (-4058) and an utterance ID of 2.
2015-08-03 19:27:21.056 APP_NAME[49252:4174708] Pocketsphinx heard "" with a score of (-6635) and an utterance ID of 3.
2015-08-03 19:27:21.169 APP_NAME[49252:4174708] End of speech detected...
INFO: cmn_prior.c(131): cmn_prior_update: from < 55.32  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 49.58 16.76 -1.75  9.75 -9.41  9.58  1.37  2.40 -8.62  6.90 -3.80 -2.46  6.97 >
INFO: ngram_search_fwdtree.c(1550):      483 words recognized (9/fr)
INFO: ngram_search_fwdtree.c(1552):     1585 senones evaluated (29/fr)
INFO: ngram_search_fwdtree.c(1556):      503 channels searched (9/fr), 0 1st, 503 last
INFO: ngram_search_fwdtree.c(1559):      503 words for which last channels evaluated (9/fr)
INFO: ngram_search_fwdtree.c(1561):        0 candidate words for entering last phone (0/fr)
INFO: ngram_search_fwdtree.c(1564): fwdtree 1.15 CPU 2.137 xRT
INFO: ngram_search_fwdtree.c(1567): fwdtree 5.64 wall 10.438 xRT
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 3 words
INFO: ngram_search_fwdflat.c(938):      400 words recognized (7/fr)
INFO: ngram_search_fwdflat.c(940):     1638 senones evaluated (30/fr)
INFO: ngram_search_fwdflat.c(942):      519 channels searched (9/fr)
INFO: ngram_search_fwdflat.c(944):      519 words searched (9/fr)
INFO: ngram_search_fwdflat.c(947):      121 word transitions (2/fr)
INFO: ngram_search_fwdflat.c(950): fwdflat 0.01 CPU 0.022 xRT
INFO: ngram_search_fwdflat.c(953): fwdflat 0.01 wall 0.021 xRT
INFO: ngram_search.c(1215): </s> not found in last frame, using A.52 instead
INFO: ngram_search.c(1268): lattice start node <s>.0 end node A.49
INFO: ngram_search.c(1294): Eliminated 1 nodes before end node
INFO: ngram_search.c(1399): Lattice has 99 nodes, 600 links
2015-08-03 19:27:21.185 APP_NAME[49252:4174534] pocketsphinxDidDetectFinishedSpeech
(lldb) 

and call stack:

Thread 14Queue : com.apple.root.default-qos (concurrent)
#0	0x00000001004ec83c in logmath_add ()
#1	0x00000001004c9128 in ps_lattice_bestpath ()
#2	0x00000001004b556c in ___lldb_unnamed_function157$$StampDrill ()
#3	0x000000010049ef3c in ps_get_hyp_vnnetvisstampdrill ()
#4	0x000000010049e69c in ___lldb_unnamed_function74$$StampDrill ()
#5	0x00000001004a04e8 in ___lldb_unnamed_function78$$StampDrill ()
#6	0x00000001004a0758 in ___lldb_unnamed_function82$$StampDrill ()
#7	0x00000001013d4f94 in _dispatch_client_callout ()
#8	0x00000001013ec848 in _dispatch_source_latch_and_call ()
#9	0x00000001013d71c0 in _dispatch_source_invoke ()
#10	0x00000001013e25d4 in _dispatch_root_queue_drain ()
#11	0x00000001013e4248 in _dispatch_worker_thread3 ()
#12	0x000000019496122c in _pthread_wqthread ()

Thank you very much

[anhtu]

and the error is “Thread 14: EXC_BAD_ACCESS (code=1,address=xxxx)”

[Halle Winkler]

Hmm, I don’t see a reason in the log for this crash and I’ve never had a report of one of these (the crash in the jsgf/arpa switching topic doesn’t look related to this). How is it possible that you’re running OpenEars with cocos2d, have you prevented cocos2d from making any changes to the audio session or are you running OpenEars with an overridden audio session by cocos2d? The most likely cause is that it is an audio coexistence problem due to running both libraries simultaneously.

[Halle Winkler]

Wait, my apologies, here is your issue from your log:

ERROR: “ngram_search_fwdtree.c”, line 336: No word from the language model has pronunciation in the dictionary

That means that your language model and dictionary don’t match in the session in which the crash occurs, so there is an exception the first time there is real speech in the audio buffer. Is there anything special about the language model generation code which could account for that, that you could share with me?

I would focus troubleshooting on making sure that something isn’t happening like giving OEPocketsphinxController the path to an old dictionary somehow instead of the most-recently-generated one, or similar. Something that may help to understand what is happening is to take a look at that .dic file that is generated and used in the crashing session, and see if its contents match what you expect them to be.

[anhtu]

I’m using the default “AcousticModelEnglish.bundle” in OpenEars package.
I want the app can recognize letters A-Z.
The crash appears event if I keep “LanguageModelGeneratorLookupList.text” in the default or just keep A-Z.

NSString *name = [NSString stringWithFormat:@"lession_vocal_%@_%d",
                  [[QuestionManager sharedManager] getWordAtIndex:[index intValue]], [index intValue]];

NSError *error = nil;
NSString * curLetter = [[QuestionManager sharedManager] getWordAtIndex:[index intValue]];
arrWords = @[curLetter];

if(![GlobalData sharedInstance].isRejectoON){

  error = [_languageModelGenerator generateLanguageModelFromArray:arrWords
                                                   withFilesNamed:name
                                           forAcousticModelAtPath:[OEAcousticModel pathToModel:@"AcousticModelEnglish"]];
  
}else{
  error = [_languageModelGenerator generateRejectingLanguageModelFromArray:arrWords
                                                            withFilesNamed:name
                                                    withOptionalExclusions:[GlobalData sharedInstance].optionalExclusion
                                                           usingVowelsOnly:[GlobalData sharedInstance].usingVowelsOnly
                                                                withWeight:[NSNumber numberWithFloat: [GlobalData sharedInstance].weight_rejecto]
                                                    forAcousticModelAtPath:[OEAcousticModel pathToModel:@"AcousticModelEnglish"]];
}

lmPath = nil;
dicPath = nil;

if(error != noErr) {
  NSLog(@"Dynamic language generator reported error %@", [error description]);
} else {
  dicPath = [_languageModelGenerator pathToSuccessfullyGeneratedDictionaryWithRequestedName:name];
  lmPath = [_languageModelGenerator pathToSuccessfullyGeneratedLanguageModelWithRequestedName:name];
}

  [openEarsEventsObserver setDelegate:self];
  //call before set properties
  [pocketsphinxController setActive:TRUE error:nil];
  [pocketsphinxController setRapidEarsToVerbose:YES];
  [pocketsphinxController setFinalizeHypothesis:NO];
  [pocketsphinxController setReturnDuplicatePartials:false];
  [pocketsphinxController setReturnNullHypotheses:false];
  [pocketsphinxController setSecondsOfSilenceToDetect:0.2];
  [OELogging startOpenEarsLogging];
  
    if(!pocketsphinxController.isListening) {
      [pocketsphinxController startRealtimeListeningWithLanguageModelAtPath:lmPath dictionaryAtPath:dicPath acousticModelAtPath:[OEAcousticModel pathToModel:@"AcousticModelEnglish"]];
    }else{
      
      [pocketsphinxController changeLanguageModelToFile:lmPath withDictionary:dicPath];
      if (pocketsphinxController.isSuspended) {
        [pocketsphinxController resumeRecognition];
      }
    }

The crash occurs rarely randomly and so weird. Because it doesn’t appear if I turn on Rejecto (using Rejecto)

The crash occurs on RapidEars 2.03 also.

[Halle Winkler]

Hi,

You can’t change the contents of LanguageModelGeneratorLookupList.text other than to add things to it – you will definitely have crashes if you reduce the number of items in LanguageModelGeneratorLookupList.text. But my suggestion wasn’t to check out your acoustic model, it was to check out the contents of the language model and .dic file that OpenEars is generating for you. The crash is happening because they don’t match, so that is where to direct your troubleshooting.

For instance, in the log you showed, there is a language model file being passed to OEPocketsphinxController called lession_vocal_A_0.DMP and a dictionary called lession_vocal_A_0.dic, and the crash is happening because lession_vocal_A_0.dic doesn’t have the words from lession_vocal_A_0.DMP in it. Please check out lession_vocal_A_0.dic and see if it contains the words you expect it to contain when there is a crash.

[anhtu]

Here is the contents in 2 files:
lession_vocal_D_3.dic
D D IY

lession_vocal_D_3.DMP

Darpa Trigram LMr/var/mobile/Containers/Data/Application/2E00812C-8A05-4A6B-BFDC-475501A642DB/Library/Caches/lession_vocal_D_3.DMPˇˇˇˇBEGIN FILE FORMAT DESCRIPTION?Header string length (int32) and string (including trailing 0)OOriginal LM filename string-length (int32) and filename (including trailing 0)0(int32) version number (present iff value <= 0)G(int32) original LM file modification timestamp (iff version# present)O(int32) string-length and string (including trailing 0) (iff version# present)H... previous entry continued any number of times (iff version# present)C(int32) 0 (terminating sequence of strings) (iff version# present)S(int32) log_bg_seg_sz (present iff different from default value of LOG2_BG_SEG_SZ)"(int32) lm_t.ucount (must be > 0)(int32) lm_t.bcount(int32) lm_t.tcount,lm_t.ucount+1 unigrams (including sentinel)ulm_t.bcount+1 bigrams (including sentinel 64 bits (bg_t) each if version=-1/-2, 128 bits (bg32_t) each if version=-3}lm_t.tcount trigrams (present iff lm_t.tcount > 0 32 bits (tg_t) each if version=-1/-2, 64 bits (tg32_t) each if version=-3)(int32) lm_t.n_prob2(int32) lm_t.prob2[]4(int32) lm_t.n_bo_wt2 (present iff lm_t.tcount > 0)4(int32) lm_t.bo_wt2[] (present iff lm_t.tcount > 0)3(int32) lm_t.n_prob3 (present iff lm_t.tcount > 0)3(int32) lm_t.prob3[] (present iff lm_t.tcount > 0)B(int32) (lm_t.bcount+1)/BG_SEG_SZ+1 (present iff lm_t.tcount > 0)7(int32) lm_t.tseg_base[] (present iff lm_t.tcount > 0)D(int32) Sum(all word string-lengths, including trailing 0 for each)1All word strings (including trailing 0 for each)END FILE FORMAT DESCRIPTION!!!ˇˇˇˇ„e≈¬ˇˇˇˇ„e≈¬|ˇ«¬ˇˇˇˇÚöæˇˇˇˇ˝@.«˝@.«Ø%∂«ÚöæØ%∂«ÚöæØ%∂«Úöæ</s><s>D

[Halle Winkler]

Don’t worry about the contents of the .DMP file, it is binary. In your .dic file, there is only a single entry, and it is the letter “D” by itself. My question from my last couple of posts is whether that is what you expect to be in your vocabulary at the time of your crash, or if you expect the contents to be different. You can check this by adding some logging that shows you your current letter, and then comparing it with the contents of the .dic file that is being used at the time of the crash. You can verify that it is the file being used because this logging line will show it being loaded:

-dict /var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/somedictionaryname.dic \

[Halle Winkler]

By the way, your crash showed a crash with the .dic file lession_vocal_A_0.dic but you showed me the contents of a file called lession_vocal_D_3.dic. It is extremely important to only troubleshoot the files that you know are being used at the time of the crash, or you will be spending time troubleshooting working files, and not troubleshooting the files with the issue you’re asking about.

[anhtu]

The contents of ‘lession_vocal_D_3.dic’ and ‘lession_vocal_D_3.DMP’ are the files which are created when the crash occurs in ‘D’ letter.

I will try to do experiments and post log + .DMP + .dic of a crash letter again.

[Halle Winkler]

OK, please don’t post the contents of the DMP file since as I mentioned it is a binary. At the same time that a DMP file is created, there is also a file called .arpa created, so please show the contents of a crashing .dic file and the contents of the arpa file with the same name as a crashing .DMP file. That is, if the crash and this error:

ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary

Occur with a file called “lession_vocal_D_3.dic”, as confirmed in this line of logging before the crash (making sure that you haven’t switched to a different model after starting):

-dict /var/mobile/Containers/Data/Application/662EA17C-590D-4F09-9312-520CD035DE4B/Library/Caches/lession_vocal_D_3.dic \

Then please show me the contents of lession_vocal_D_3.dic and lession_vocal_D_3.arpa. Please be careful that these are really the files related to the crash.

[anhtu]

Here is the contents of the files which you need. In this case , I tested from A-G. When came to letter C, it crashed.

lession_vocal_C_2.dic file

C S IY

lession_vocal_C_2.arpa

#############################################################################
## Copyright (c) 1996, Carnegie Mellon University, Cambridge University,
## Ronald Rosenfeld and Philip Clarkson
## Version 3, Copyright (c) 2006, Carnegie Mellon University 
## Contributors includes Wen Xu, Ananlada Chotimongkol, 
## David Huggins-Daines, Arthur Chan and Alan Black 
#############################################################################
=============================================================================
===============  This file was produced by the CMU-Cambridge  ===============
===============     Statistical Language Modeling Toolkit     ===============
=============================================================================
This is a 3-gram language model, based on a vocabulary of 3 words,
  which begins "</s>", "<s>", "C"...
This is a CLOSED-vocabulary model
  (OOVs eliminated from training data and are forbidden in test data)
Witten Bell discounting was applied.
This file is in the ARPA-standard format introduced by Doug Paul.

p(wd3|wd1,wd2)= if(trigram exists)           p_3(wd1,wd2,wd3)
                else if(bigram w1,w2 exists) bo_wt_2(w1,w2)*p(wd3|wd2)
                else                         p(wd3|w2)

p(wd2|wd1)= if(bigram exists) p_2(wd1,wd2)
            else              bo_wt_1(wd1)*p_1(wd2)

All probs and back-off weights (bo_wt) are given in log10 form.

Data formats:

Beginning of data mark: \data\
ngram 1=nr            # number of 1-grams
ngram 2=nr            # number of 2-grams
ngram 3=nr            # number of 3-grams

\1-grams:
p_1     wd_1 bo_wt_1
\2-grams:
p_2     wd_1 wd_2 bo_wt_2
\3-grams:
p_3     wd_1 wd_2 wd_3 

end of data mark: \end\

\data\
ngram 1=3
ngram 2=2
ngram 3=1

\1-grams:
-98.6990 </s>	0.0000
-98.6990 <s>	-99.9990
0.0000 C	-0.3010

\2-grams:
-0.3010 <s> C 0.0000
-0.3010 C </s> -0.3010

\3-grams:
-0.3010 <s> C </s> 

\end\

the log console

2015-08-04 16:37:00.758 App_Name[50514:4263641] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000

2015-08-04 16:37:00.768 App_Name[50514:4263641] Starting dynamic language model generation

2015-08-04 16:37:00.892 App_Name[50514:4263641] Done creating language model with CMUCLMTK in 0.123174 seconds.

2015-08-04 16:37:00.900 App_Name[50514:4263641] I'm done running performDictionaryLookup and it took 0.002335 seconds

2015-08-04 16:37:00.908 App_Name[50514:4263641] I'm done running dynamic language model generation and it took 0.148800 seconds

2015-08-04 16:37:00.908 App_Name[50514:4263641] Valid setSecondsOfSilence value of 0.200000 will be used.

2015-08-04 16:37:01.017 App_Name[50514:4264050] there is a request to change to the language model file /var/mobile/Containers/Data/Application/A9D01313-E149-4F27-9067-EB2DA15AB639/Library/Caches/lession_vocal_B_1.DMP

2015-08-04 16:37:01.017 App_Name[50514:4264050] The language model ID is 1438681021

2015-08-04 16:37:01.032 App_Name[50514:4264050] Success loading the specified dictionary file /var/mobile/Containers/Data/Application/A9D01313-E149-4F27-9067-EB2DA15AB639/Library/Caches/lession_vocal_B_1.dic.

2015-08-04 16:37:01.033 App_Name[50514:4264050] Success loading the specified language model file /var/mobile/Containers/Data/Application/A9D01313-E149-4F27-9067-EB2DA15AB639/Library/Caches/lession_vocal_B_1.DMP.

2015-08-04 16:37:01.033 App_Name[50514:4263641] Pocketsphinx is now using the following language model: 

/var/mobile/Containers/Data/Application/A9D01313-E149-4F27-9067-EB2DA15AB639/Library/Caches/lession_vocal_B_1.DMP and the following dictionary: /var/mobile/Containers/Data/Application/A9D01313-E149-4F27-9067-EB2DA15AB639/Library/Caches/lession_vocal_B_1.dic

2015-08-04 16:37:01.039 App_Name[50514:4264050] Changed language model. Project has these words or phrases in its dictionary:

B

2015-08-04 16:37:01.392 App_Name[50514:4264050] Speech detected...

2015-08-04 16:37:01.393 App_Name[50514:4264050] Pocketsphinx heard "" with a score of (-2680) and an utterance ID of 3.

2015-08-04 16:37:01.394 App_Name[50514:4264050] Hypothesis was null so we aren't returning it. If you want null hypotheses to also be returned, set OEPocketsphinxController's property returnNullHypotheses to TRUE before starting OEPocketsphinxController.

2015-08-04 16:37:01.544 App_Name[50514:4264050] Pocketsphinx heard "B" with a score of (-5403) and an utterance ID of 4.

2015-08-04 16:37:01.585 App_Name[50514:4263641] rapidEarsDidReceiveFinishedSpeechHypothesis: B with score: -5403

2015-08-04 16:37:01.775 App_Name[50514:4263763] End of speech detected...

2015-08-04 16:37:01.779 App_Name[50514:4263641] pocketsphinxDidDetectFinishedSpeech

2015-08-04 16:37:01.785 App_Name[50514:4263763] Pocketsphinx heard "B" with a score of (-8131) and an utterance ID of 5.

2015-08-04 16:37:01.792 App_Name[50514:4263641] rapidEarsDidReceiveFinishedSpeechHypothesis: B with score: -8131

2015-08-04 16:37:03.404 App_Name[50514:4263641] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000

2015-08-04 16:37:03.416 App_Name[50514:4263641] Starting dynamic language model generation

2015-08-04 16:37:03.517 App_Name[50514:4263641] Done creating language model with CMUCLMTK in 0.100489 seconds.

2015-08-04 16:37:03.528 App_Name[50514:4263641] I'm done running performDictionaryLookup and it took 0.004014 seconds

2015-08-04 16:37:03.536 App_Name[50514:4263641] I'm done running dynamic language model generation and it took 0.131257 seconds

2015-08-04 16:37:03.536 App_Name[50514:4263641] Valid setSecondsOfSilence value of 0.200000 will be used.

2015-08-04 16:37:03.567 App_Name[50514:4264074] there is a request to change to the language model file /var/mobile/Containers/Data/Application/A9D01313-E149-4F27-9067-EB2DA15AB639/Library/Caches/lession_vocal_C_2.DMP

2015-08-04 16:37:03.569 App_Name[50514:4264074] The language model ID is 1438681023

App_Name(50514,0x104f10000) malloc: *** error for object 0x900000008: pointer being freed was not allocated

*** set a breakpoint in malloc_error_break to debug

call stack

Thread 16Queue : com.apple.root.default-qos (concurent)
#0	0x00000001948c7270 in __pthread_kill ()
#1	0x0000000194965170 in pthread_kill ()
#2	0x000000019483eb18 in abort ()
#3	0x00000001948f42fc in free ()
#4	0x0000000100473054 in ngram_model_set_map_words ()
#5	0x0000000100476598 in ___lldb_unnamed_function156$$App_Name ()
#6	0x00000001004693e4 in ps_load_dict ()
#7	0x0000000100479c10 in ___lldb_unnamed_function183$$App_Name ()
#8	0x00000001004611c8 in ___lldb_unnamed_function78$$App_Name ()
#9	0x0000000100461858 in ___lldb_unnamed_function82$$App_Name ()
#10	0x0000000101388f94 in _dispatch_client_callout ()
#11	0x00000001013a0848 in _dispatch_source_latch_and_call ()
#12	0x000000010138b1c0 in _dispatch_source_invoke ()
#13	0x00000001013965d4 in _dispatch_root_queue_drain ()
#14	0x0000000101398248 in _dispatch_worker_thread3 ()
#15	0x000000019496122c in _pthread_wqthread ()

P.S: when I use REJECTO (demo version), this problem doesn’t appear. Here is the code I use:

 error = [_languageModelGenerator generateRejectingLanguageModelFromArray:arrWords
                                                            withFilesNamed:name
                                                    withOptionalExclusions:[GlobalData sharedInstance].optionalExclusion
                                                           usingVowelsOnly:[GlobalData sharedInstance].usingVowelsOnly
                                                                withWeight:[NSNumber numberWithFloat: [GlobalData sharedInstance].weight_rejecto]
                                                    forAcousticModelAtPath:[OEAcousticModel pathToModel:@"AcousticModelEnglish"]];

[Halle Winkler]

Hi,

It’s really important that you show the complete log with verbosePocketsphinx and OELogging turned on or I can’t help you.

[anhtu]

Sorry, I will create one again. I reseted the source code from git and forgot it.

[Halle Winkler]

OK, it would also make it easy to help out if the logs didn’t have inserted line breaks like in the last one – not so easy to read.

[anhtu]

Here is the contents:crash when came to letter D

.dic file

D D IY

.arpa file

#############################################################################
## Copyright (c) 1996, Carnegie Mellon University, Cambridge University,
## Ronald Rosenfeld and Philip Clarkson
## Version 3, Copyright (c) 2006, Carnegie Mellon University 
## Contributors includes Wen Xu, Ananlada Chotimongkol, 
## David Huggins-Daines, Arthur Chan and Alan Black 
#############################################################################
=============================================================================
===============  This file was produced by the CMU-Cambridge  ===============
===============     Statistical Language Modeling Toolkit     ===============
=============================================================================
This is a 3-gram language model, based on a vocabulary of 3 words,
  which begins "</s>", "<s>", "D"...
This is a CLOSED-vocabulary model
  (OOVs eliminated from training data and are forbidden in test data)
Witten Bell discounting was applied.
This file is in the ARPA-standard format introduced by Doug Paul.

p(wd3|wd1,wd2)= if(trigram exists)           p_3(wd1,wd2,wd3)
                else if(bigram w1,w2 exists) bo_wt_2(w1,w2)*p(wd3|wd2)
                else                         p(wd3|w2)

p(wd2|wd1)= if(bigram exists) p_2(wd1,wd2)
            else              bo_wt_1(wd1)*p_1(wd2)

All probs and back-off weights (bo_wt) are given in log10 form.

Data formats:

Beginning of data mark: \data\
ngram 1=nr            # number of 1-grams
ngram 2=nr            # number of 2-grams
ngram 3=nr            # number of 3-grams

\1-grams:
p_1     wd_1 bo_wt_1
\2-grams:
p_2     wd_1 wd_2 bo_wt_2
\3-grams:
p_3     wd_1 wd_2 wd_3 

end of data mark: \end\

\data\
ngram 1=3
ngram 2=2
ngram 3=1

\1-grams:
-98.6990 </s>	0.0000
-98.6990 <s>	-99.9990
0.0000 D	-0.3010

\2-grams:
-0.3010 <s> D 0.0000
-0.3010 D </s> -0.3010

\3-grams:
-0.3010 <s> D </s> 

\end\

the log:

2015-08-04 17:18:43.475 App_Name[50827:4272534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-04 17:18:43.525 App_Name[50827:4272534] Starting dynamic language model generation

2015-08-04 17:18:43.647 App_Name[50827:4272534] Done creating language model with CMUCLMTK in 0.122107 seconds.
2015-08-04 17:18:43.669 App_Name[50827:4272534] I'm done running performDictionaryLookup and it took 0.000215 seconds
2015-08-04 17:18:43.677 App_Name[50827:4272534] I'm done running dynamic language model generation and it took 0.196122 seconds
2015-08-04 17:18:43.678 App_Name[50827:4272534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-04 17:18:43.685 App_Name[50827:4272534] cocos2d: surface size: 2048x1536
2015-08-04 17:18:44.690 App_Name[50827:4272534] User gave mic permission for this app.
2015-08-04 17:18:44.691 App_Name[50827:4272534] Valid setSecondsOfSilence value of 0.200000 will be used.
2015-08-04 17:18:44.692 App_Name[50827:4273012] Starting listening.
2015-08-04 17:18:44.692 App_Name[50827:4273012] about to set up audio session
2015-08-04 17:18:44.842 App_Name[50827:4272710] Audio route has changed for the following reason:
2015-08-04 17:18:44.846 App_Name[50827:4272710] There was a category change. The new category is AVAudioSessionCategoryPlayAndRecord
2015-08-04 17:18:44.852 App_Name[50827:4272710] This is not a case in which OpenEars notifies of a route change. At the close of this function, the new audio route is ---SpeakerMicrophoneBuiltIn---. The previous route before changing to this route was <AVAudioSessionRouteDescription: 0x170806470,
inputs = (null);
outputs = (
           "<AVAudioSessionPortDescription: 0x17080b520, type = Speaker; name = Speaker; UID = Built-In Speaker; selectedDataSource = (null)>"
           )>.
2015-08-04 17:18:44.866 App_Name[50827:4273012] done starting audio unit
INFO: cmd_ln.c(702): Parsing command line:
\
-lm /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_A_0.DMP \
-vad_prespeech 10 \
-vad_postspeech 20 \
-vad_threshold 2.000000 \
-remove_noise yes \
-remove_silence yes \
-bestpath yes \
-lw 6.500000 \
-dict /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_A_0.dic \
-hmm /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-allphone
-allphone_ci	no		no
-alpha		0.97		9.700000e-01
-argfile
-ascale		20.0		2.000000e+01
-aw		1		1
-backtrace	no		no
-beam		1e-48		1.000000e-48
-bestpath	yes		yes
-bestpathlw	9.5		9.500000e+00
-bghist		no		no
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		8.0
-compallsen	no		no
-debug				0
-dict				/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_A_0.dic
-dictcase	no		no
-dither		no		no
-doublebw	no		no
-ds		1		1
-fdict
-feat		1s_c_d_dd	1s_c_d_dd
-featparams
-fillprob	1e-8		1.000000e-08
-frate		100		100
-fsg
-fsgusealtpron	yes		yes
-fsgusefiller	yes		yes
-fwdflat	yes		yes
-fwdflatbeam	1e-64		1.000000e-64
-fwdflatefwid	4		4
-fwdflatlw	8.5		8.500000e+00
-fwdflatsfwin	25		25
-fwdflatwbeam	7e-29		7.000000e-29
-fwdtree	yes		yes
-hmm				/private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle
-input_endian	little		little
-jsgf
-kdmaxbbi	-1		-1
-kdmaxdepth	0		0
-kdtree
-keyphrase
-kws
-kws_plp	1e-1		1.000000e-01
-kws_threshold	1		1.000000e+00
-latsize	5000		5000
-lda
-ldadim		0		0
-lextreedump	0		0
-lifter		0		0
-lm				/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_A_0.DMP
-lmctl
-lmname
-logbase	1.0001		1.000100e+00
-logfn
-logspec	no		no
-lowerf		133.33334	1.333333e+02
-lpbeam		1e-40		1.000000e-40
-lponlybeam	7e-29		7.000000e-29
-lw		6.5		6.500000e+00
-maxhmmpf	10000		10000
-maxnewoov	20		20
-maxwpf		-1		-1
-mdef
-mean
-mfclogdir
-min_endfr	0		0
-mixw
-mixwfloor	0.0000001	1.000000e-07
-mllr
-mmap		yes		yes
-ncep		13		13
-nfft		512		512
-nfilt		40		40
-nwpen		1.0		1.000000e+00
-pbeam		1e-48		1.000000e-48
-pip		1.0		1.000000e+00
-pl_beam	1e-10		1.000000e-10
-pl_pbeam	1e-5		1.000000e-05
-pl_window	0		0
-rawlogdir
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-sendump
-senlogdir
-senmgau
-silprob	0.005		5.000000e-03
-smoothspec	no		no
-svspec
-tmat
-tmatfloor	0.0001		1.000000e-04
-topn		4		4
-topn_beam	0		0
-toprule
-transform	legacy		legacy
-unit_area	yes		yes
-upperf		6855.4976	6.855498e+03
-usewdphones	no		no
-uw		1.0		1.000000e+00
-vad_postspeech	50		20
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-var
-varfloor	0.0001		1.000000e-04
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wbeam		7e-29		7.000000e-29
-wip		0.65		6.500000e-01
-wlen		0.025625	2.562500e-02

INFO: cmd_ln.c(702): Parsing command line:
\
-nfilt 25 \
-lowerf 130 \
-upperf 6800 \
-feat 1s_c_d_dd \
-svspec 0-12/13-25/26-38 \
-agc none \
-cmn current \
-varnorm no \
-transform dct \
-lifter 22 \
-cmninit 40

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-alpha		0.97		9.700000e-01
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		40
-dither		no		no
-doublebw	no		no
-feat		1s_c_d_dd	1s_c_d_dd
-frate		100		100
-input_endian	little		little
-lda
-ldadim		0		0
-lifter		0		22
-logspec	no		no
-lowerf		133.33334	1.300000e+02
-ncep		13		13
-nfft		512		512
-nfilt		40		25
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-smoothspec	no		no
-svspec				0-12/13-25/26-38
-transform	legacy		dct
-unit_area	yes		yes
-upperf		6855.4976	6.800000e+03
-vad_postspeech	50		20
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wlen		0.025625	2.562500e-02

INFO: acmod.c(252): Parsed model-specific feature parameters from /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/feat.params
INFO: feat.c(715): Initializing feature stream to type: '1s_c_d_dd', ceplen=13, CMN='current', VARNORM='no', AGC='none'
INFO: cmn.c(143): mean[0]= 12.00, mean[1..12]= 0.0
INFO: acmod.c(171): Using subvector specification 0-12/13-25/26-38
INFO: mdef.c(518): Reading model definition: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/mdef
INFO: mdef.c(531): Found byte-order mark BMDF, assuming this is a binary mdef file
INFO: bin_mdef.c(336): Reading binary model definition: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/mdef
INFO: bin_mdef.c(516): 46 CI-phone, 168344 CD-phone, 3 emitstate/phone, 138 CI-sen, 6138 Sen, 32881 Sen-Seq
INFO: tmat.c(206): Reading HMM transition probability matrices: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/transition_matrices
INFO: acmod.c(124): Attempting to use SCHMM computation module
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/means
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/variances
INFO: ms_gauden.c(292): 1 codebook, 3 feature, size:
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(294):  512x13
INFO: ms_gauden.c(354): 0 variance values floored
INFO: s2_semi_mgau.c(904): Loading senones from dump file /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/sendump
INFO: s2_semi_mgau.c(928): BEGIN FILE FORMAT DESCRIPTION
INFO: s2_semi_mgau.c(991): Rows: 512, Columns: 6138
INFO: s2_semi_mgau.c(1023): Using memory-mapped I/O for senones
INFO: s2_semi_mgau.c(1294): Maximum top-N: 4 Top-N beams: 0 0 0
INFO: dict.c(320): Allocating 4107 * 32 bytes (128 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_A_0.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 2 words read
INFO: dict.c(342): Reading filler dictionary: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/noisedict
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(345): 9 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 46^3 * 2 bytes (190 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 51152 bytes (49 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 51152 bytes (49 KiB) for single-phone word triphones
INFO: ngram_model_arpa.c(79): No \data\ mark in LM file
INFO: ngram_model_dmp.c(166): Will use memory-mapped I/O for LM file
INFO: ngram_model_dmp.c(220): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_dmp.c(266):        3 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(312):        2 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(338):        1 = LM.trigrams read
INFO: ngram_model_dmp.c(363):        2 = LM.prob2 entries read
INFO: ngram_model_dmp.c(383):        3 = LM.bo_wt2 entries read
INFO: ngram_model_dmp.c(403):        2 = LM.prob3 entries read
INFO: ngram_model_dmp.c(431):        1 = LM.tseg_base entries read
INFO: ngram_model_dmp.c(487):        3 = ascii word strings read
INFO: ngram_search_fwdtree.c(99): 0 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 12 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 12 single-phone words
INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 128
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 11 single-phone words
INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
2015-08-04 17:18:44.981 App_Name[50827:4273012] Restoring SmartCMN value of 55.322021
2015-08-04 17:18:44.982 App_Name[50827:4273012] Listening.
2015-08-04 17:18:44.982 App_Name[50827:4273012] Project has these words or phrases in its dictionary:
A
A(2)
2015-08-04 17:18:44.983 App_Name[50827:4273012] Recognition loop has started
2015-08-04 17:18:44.987 App_Name[50827:4272534] Pocketsphinx is now listening.
2015-08-04 17:18:45.589 App_Name[50827:4273012] Speech detected...
2015-08-04 17:18:45.591 App_Name[50827:4273012] Pocketsphinx heard "" with a score of (-1841) and an utterance ID of 0.
2015-08-04 17:18:45.673 App_Name[50827:4273012] Pocketsphinx heard "" with a score of (-4145) and an utterance ID of 1.
2015-08-04 17:18:45.776 App_Name[50827:4273012] End of speech detected...
INFO: cmn_prior.c(131): cmn_prior_update: from < 55.32  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00  0.00 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 50.10 -2.86 -21.38  6.18  9.53  9.65 -6.16  1.99 -5.67 -2.94 -0.32 -7.97 -8.61 >
INFO: ngram_search_fwdtree.c(1550):      344 words recognized (9/fr)
INFO: ngram_search_fwdtree.c(1552):     1104 senones evaluated (30/fr)
INFO: ngram_search_fwdtree.c(1556):      366 channels searched (9/fr), 0 1st, 366 last
INFO: ngram_search_fwdtree.c(1559):      366 words for which last channels evaluated (9/fr)
INFO: ngram_search_fwdtree.c(1561):        0 candidate words for entering last phone (0/fr)
INFO: ngram_search_fwdtree.c(1564): fwdtree 0.09 CPU 0.251 xRT
INFO: ngram_search_fwdtree.c(1567): fwdtree 0.51 wall 1.383 xRT
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 2 words
INFO: ngram_search_fwdflat.c(938):      230 words recognized (6/fr)
INFO: ngram_search_fwdflat.c(940):      720 senones evaluated (19/fr)
INFO: ngram_search_fwdflat.c(942):      267 channels searched (7/fr)
INFO: ngram_search_fwdflat.c(944):      267 words searched (7/fr)
INFO: ngram_search_fwdflat.c(947):       62 word transitions (1/fr)
INFO: ngram_search_fwdflat.c(950): fwdflat 0.00 CPU 0.010 xRT
INFO: ngram_search_fwdflat.c(953): fwdflat 0.00 wall 0.009 xRT
INFO: ngram_search.c(1215): </s> not found in last frame, using <sil>.35 instead
INFO: ngram_search.c(1268): lattice start node <s>.0 end node <sil>.2
INFO: ngram_search.c(1294): Eliminated 90 nodes before end node
INFO: ngram_search.c(1399): Lattice has 92 nodes, 1 links
INFO: ps_lattice.c(1368): Normalizer P(O) = alpha(<sil>:2:35) = -4823285
INFO: ps_lattice.c(1403): Joint P(O,S) = -4823286 P(S|O) = -1
INFO: ngram_search.c(890): bestpath 0.00 CPU 0.000 xRT
INFO: ngram_search.c(893): bestpath 0.00 wall 0.001 xRT
2015-08-04 17:18:45.781 App_Name[50827:4273012] Pocketsphinx heard "" with a score of (-47303) and an utterance ID of 2.
2015-08-04 17:18:45.782 App_Name[50827:4273012] Hypothesis was null so we aren't returning it. If you want null hypotheses to also be returned, set OEPocketsphinxController's property returnNullHypotheses to TRUE before starting OEPocketsphinxController.
2015-08-04 17:18:46.052 App_Name[50827:4273012] Speech detected...
2015-08-04 17:18:46.053 App_Name[50827:4273012] Pocketsphinx heard "" with a score of (-3968) and an utterance ID of 3.
2015-08-04 17:18:46.165 App_Name[50827:4273012] Pocketsphinx heard "A" with a score of (-5233) and an utterance ID of 4.
2015-08-04 17:18:46.173 App_Name[50827:4272534] rapidEarsDidReceiveFinishedSpeechHypothesis: A with score: -5233
2015-08-04 17:18:46.174 App_Name[50827:4272534] Play effect sound
2015-08-04 17:18:49.159 App_Name[50827:4272534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-04 17:18:49.172 App_Name[50827:4272534] Starting dynamic language model generation

INFO: cmd_ln.c(702): Parsing command line:
sphinx_lm_convert \
-i /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.arpa \
-o /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.DMP

Current configuration:
[NAME]		[DEFLT]	[VALUE]
-case
-debug			0
-help		no	no
-i			/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.arpa
-ienc
-ifmt
-logbase	1.0001	1.000100e+00
-mmap		no	no
-o			/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.DMP
-oenc		utf8	utf8
-ofmt

INFO: ngram_model_arpa.c(504): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_arpa.c(137): Reading unigrams
INFO: ngram_model_arpa.c(543):        3 = #unigrams created
INFO: ngram_model_arpa.c(197): Reading bigrams
INFO: ngram_model_arpa.c(561):        2 = #bigrams created
INFO: ngram_model_arpa.c(562):        2 = #prob2 entries
INFO: ngram_model_arpa.c(570):        3 = #bo_wt2 entries
INFO: ngram_model_arpa.c(294): Reading trigrams
INFO: ngram_model_arpa.c(583):        1 = #trigrams created
INFO: ngram_model_arpa.c(584):        2 = #prob3 entries
INFO: ngram_model_dmp.c(518): Building DMP model...
INFO: ngram_model_dmp.c(548):        3 = #unigrams created
INFO: ngram_model_dmp.c(649):        2 = #bigrams created
INFO: ngram_model_dmp.c(650):        2 = #prob2 entries
INFO: ngram_model_dmp.c(657):        3 = #bo_wt2 entries
INFO: ngram_model_dmp.c(661):        1 = #trigrams created
INFO: ngram_model_dmp.c(662):        2 = #prob3 entries
2015-08-04 17:18:49.299 App_Name[50827:4272534] Done creating language model with CMUCLMTK in 0.126771 seconds.
2015-08-04 17:18:49.307 App_Name[50827:4272534] I'm done running performDictionaryLookup and it took 0.002471 seconds
2015-08-04 17:18:49.317 App_Name[50827:4272534] I'm done running dynamic language model generation and it took 0.157271 seconds
2015-08-04 17:18:49.318 App_Name[50827:4272534] Valid setSecondsOfSilence value of 0.200000 will be used.
INFO: cmn_prior.c(131): cmn_prior_update: from < 50.10 -2.86 -21.38  6.18  9.53  9.65 -6.16  1.99 -5.67 -2.94 -0.32 -7.97 -8.61 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 56.52  4.14 -13.40  9.27 -0.63  2.79 -13.06 -7.02 -0.07 -7.23 -1.33 -5.36 -9.11 >
INFO: ngram_search_fwdtree.c(1550):      344 words recognized (9/fr)
INFO: ngram_search_fwdtree.c(1552):     1131 senones evaluated (31/fr)
INFO: ngram_search_fwdtree.c(1556):      366 channels searched (9/fr), 0 1st, 366 last
INFO: ngram_search_fwdtree.c(1559):      366 words for which last channels evaluated (9/fr)
INFO: ngram_search_fwdtree.c(1561):        0 candidate words for entering last phone (0/fr)
INFO: ngram_search_fwdtree.c(1564): fwdtree 0.82 CPU 2.215 xRT
INFO: ngram_search_fwdtree.c(1567): fwdtree 3.71 wall 10.024 xRT
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 4 words
INFO: ngram_search_fwdflat.c(938):      302 words recognized (8/fr)
INFO: ngram_search_fwdflat.c(940):     1162 senones evaluated (31/fr)
INFO: ngram_search_fwdflat.c(942):      387 channels searched (10/fr)
INFO: ngram_search_fwdflat.c(944):      387 words searched (10/fr)
INFO: ngram_search_fwdflat.c(947):      134 word transitions (3/fr)
INFO: ngram_search_fwdflat.c(950): fwdflat 0.00 CPU 0.009 xRT
INFO: ngram_search_fwdflat.c(953): fwdflat 0.00 wall 0.010 xRT
2015-08-04 17:18:49.495 App_Name[50827:4273056] there is a request to change to the language model file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.DMP
2015-08-04 17:18:49.496 App_Name[50827:4273056] The language model ID is 1438683529
INFO: cmd_ln.c(702): Parsing command line:

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-allphone
-allphone_ci	no		no
-alpha		0.97		9.700000e-01
-ascale		20.0		2.000000e+01
-aw		1		1
-backtrace	no		no
-beam		1e-48		1.000000e-48
-bestpath	yes		yes
-bestpathlw	9.5		9.500000e+00
-bghist		no		no
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		8.0
-compallsen	no		no
-debug				0
-dict
-dictcase	no		no
-dither		no		no
-doublebw	no		no
-ds		1		1
-fdict
-feat		1s_c_d_dd	1s_c_d_dd
-featparams
-fillprob	1e-8		1.000000e-08
-frate		100		100
-fsg
-fsgusealtpron	yes		yes
-fsgusefiller	yes		yes
-fwdflat	yes		yes
-fwdflatbeam	1e-64		1.000000e-64
-fwdflatefwid	4		4
-fwdflatlw	8.5		8.500000e+00
-fwdflatsfwin	25		25
-fwdflatwbeam	7e-29		7.000000e-29
-fwdtree	yes		yes
-hmm
-input_endian	little		little
-jsgf
-kdmaxbbi	-1		-1
-kdmaxdepth	0		0
-kdtree
-keyphrase
-kws
-kws_plp	1e-1		1.000000e-01
-kws_threshold	1		1.000000e+00
-latsize	5000		5000
-lda
-ldadim		0		0
-lextreedump	0		0
-lifter		0		0
-lm
-lmctl
-lmname
-logbase	1.0001		1.000100e+00
-logfn
-logspec	no		no
-lowerf		133.33334	1.333333e+02
-lpbeam		1e-40		1.000000e-40
-lponlybeam	7e-29		7.000000e-29
-lw		6.5		6.500000e+00
-maxhmmpf	10000		10000
-maxnewoov	20		20
-maxwpf		-1		-1
-mdef
-mean
-mfclogdir
-min_endfr	0		0
-mixw
-mixwfloor	0.0000001	1.000000e-07
-mllr
-mmap		yes		yes
-ncep		13		13
-nfft		512		512
-nfilt		40		40
-nwpen		1.0		1.000000e+00
-pbeam		1e-48		1.000000e-48
-pip		1.0		1.000000e+00
-pl_beam	1e-10		1.000000e-10
-pl_pbeam	1e-5		1.000000e-05
-pl_window	0		0
-rawlogdir
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-sendump
-senlogdir
-senmgau
-silprob	0.005		5.000000e-03
-smoothspec	no		no
-svspec
-tmat
-tmatfloor	0.0001		1.000000e-04
-topn		4		4
-topn_beam	0		0
-toprule
-transform	legacy		legacy
-unit_area	yes		yes
-upperf		6855.4976	6.855498e+03
-usewdphones	no		no
-uw		1.0		1.000000e+00
-vad_postspeech	50		50
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-var
-varfloor	0.0001		1.000000e-04
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wbeam		7e-29		7.000000e-29
-wip		0.65		6.500000e-01
-wlen		0.025625	2.562500e-02

INFO: dict.c(320): Allocating 4106 * 32 bytes (128 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 1 words read
INFO: dict.c(342): Reading filler dictionary: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/noisedict
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(345): 9 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 46^3 * 2 bytes (190 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 51152 bytes (49 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 51152 bytes (49 KiB) for single-phone word triphones
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 9 single-phone words
2015-08-04 17:18:49.515 App_Name[50827:4273056] Success loading the specified dictionary file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.dic.
INFO: ngram_model_arpa.c(79): No \data\ mark in LM file
INFO: ngram_model_dmp.c(166): Will use memory-mapped I/O for LM file
INFO: ngram_model_dmp.c(220): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_dmp.c(266):        3 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(312):        2 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(338):        1 = LM.trigrams read
INFO: ngram_model_dmp.c(363):        2 = LM.prob2 entries read
INFO: ngram_model_dmp.c(383):        3 = LM.bo_wt2 entries read
INFO: ngram_model_dmp.c(403):        2 = LM.prob3 entries read
INFO: ngram_model_dmp.c(431):        1 = LM.tseg_base entries read
INFO: ngram_model_dmp.c(487):        3 = ascii word strings read
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 128
INFO: ngram_search_fwdtree.c(339): after: 1 root, 0 non-root channels, 9 single-phone words
INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
2015-08-04 17:18:49.518 App_Name[50827:4273056] Success loading the specified language model file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.DMP.
2015-08-04 17:18:49.518 App_Name[50827:4272534] Pocketsphinx is now using the following language model:
/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.DMP and the following dictionary: /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_B_1.dic
2015-08-04 17:18:49.519 App_Name[50827:4273056] Changed language model. Project has these words or phrases in its dictionary:
B
INFO: cmn_prior.c(131): cmn_prior_update: from < 56.52  4.14 -13.40  9.27 -0.63  2.79 -13.06 -7.02 -0.07 -7.23 -1.33 -5.36 -9.11 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 56.52  4.14 -13.40  9.27 -0.63  2.79 -13.06 -7.02 -0.07 -7.23 -1.33 -5.36 -9.11 >
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
2015-08-04 17:18:49.744 App_Name[50827:4273056] Speech detected...
2015-08-04 17:18:49.745 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-2471) and an utterance ID of 5.
2015-08-04 17:18:49.745 App_Name[50827:4273056] Hypothesis was null so we aren't returning it. If you want null hypotheses to also be returned, set OEPocketsphinxController's property returnNullHypotheses to TRUE before starting OEPocketsphinxController.
2015-08-04 17:18:49.875 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-3611) and an utterance ID of 6.
2015-08-04 17:18:50.015 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-6506) and an utterance ID of 7.
2015-08-04 17:18:50.134 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-7907) and an utterance ID of 8.
2015-08-04 17:18:50.261 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-9050) and an utterance ID of 9.
2015-08-04 17:18:50.383 App_Name[50827:4273056] End of speech detected...
INFO: cmn_prior.c(131): cmn_prior_update: from < 56.52  4.14 -13.40  9.27 -0.63  2.79 -13.06 -7.02 -0.07 -7.23 -1.33 -5.36 -9.11 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 57.29  5.73 -11.50  8.72 -0.13  7.50 -5.11 -8.93 -2.48 -6.79 -6.31 -2.05 -8.11 >
INFO: ngram_search_fwdtree.c(1550):      575 words recognized (8/fr)
INFO: ngram_search_fwdtree.c(1552):     4967 senones evaluated (72/fr)
INFO: ngram_search_fwdtree.c(1556):     2542 channels searched (36/fr), 65 1st, 2477 last
INFO: ngram_search_fwdtree.c(1559):      617 words for which last channels evaluated (8/fr)
INFO: ngram_search_fwdtree.c(1561):       63 candidate words for entering last phone (0/fr)
INFO: ngram_search_fwdtree.c(1564): fwdtree 0.14 CPU 0.201 xRT
INFO: ngram_search_fwdtree.c(1567): fwdtree 0.86 wall 1.252 xRT
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 3 words
INFO: ngram_search_fwdflat.c(938):      491 words recognized (7/fr)
INFO: ngram_search_fwdflat.c(940):     4890 senones evaluated (71/fr)
INFO: ngram_search_fwdflat.c(942):     2482 channels searched (35/fr)
INFO: ngram_search_fwdflat.c(944):      622 words searched (9/fr)
INFO: ngram_search_fwdflat.c(947):      130 word transitions (1/fr)
INFO: ngram_search_fwdflat.c(950): fwdflat 0.01 CPU 0.017 xRT
INFO: ngram_search_fwdflat.c(953): fwdflat 0.01 wall 0.013 xRT
INFO: ngram_search.c(1215): </s> not found in last frame, using B.67 instead
INFO: ngram_search.c(1268): lattice start node <s>.0 end node B.55
INFO: ngram_search.c(1294): Eliminated 4 nodes before end node
INFO: ngram_search.c(1399): Lattice has 182 nodes, 1073 links
INFO: ps_lattice.c(1368): Normalizer P(O) = alpha(B:55:67) = -541208
INFO: ps_lattice.c(1403): Joint P(O,S) = -541660 P(S|O) = -452
INFO: ngram_search.c(890): bestpath 0.00 CPU 0.003 xRT
INFO: ngram_search.c(893): bestpath 0.00 wall 0.003 xRT
2015-08-04 17:18:50.395 App_Name[50827:4273056] Pocketsphinx heard "B" with a score of (-10515) and an utterance ID of 10.
2015-08-04 17:18:50.397 App_Name[50827:4272534] rapidEarsDidReceiveFinishedSpeechHypothesis: B with score: -10515
2015-08-04 17:18:50.397 App_Name[50827:4272534] Play effect sound
2015-08-04 17:18:52.427 App_Name[50827:4272534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-04 17:18:52.438 App_Name[50827:4272534] Starting dynamic language model generation

INFO: cmd_ln.c(702): Parsing command line:
sphinx_lm_convert \
-i /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.arpa \
-o /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.DMP

Current configuration:
[NAME]		[DEFLT]	[VALUE]
-case
-debug			0
-help		no	no
-i			/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.arpa
-ienc
-ifmt
-logbase	1.0001	1.000100e+00
-mmap		no	no
-o			/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.DMP
-oenc		utf8	utf8
-ofmt

INFO: ngram_model_arpa.c(504): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_arpa.c(137): Reading unigrams
INFO: ngram_model_arpa.c(543):        3 = #unigrams created
INFO: ngram_model_arpa.c(197): Reading bigrams
INFO: ngram_model_arpa.c(561):        2 = #bigrams created
INFO: ngram_model_arpa.c(562):        2 = #prob2 entries
INFO: ngram_model_arpa.c(570):        3 = #bo_wt2 entries
INFO: ngram_model_arpa.c(294): Reading trigrams
INFO: ngram_model_arpa.c(583):        1 = #trigrams created
INFO: ngram_model_arpa.c(584):        2 = #prob3 entries
INFO: ngram_model_dmp.c(518): Building DMP model...
INFO: ngram_model_dmp.c(548):        3 = #unigrams created
INFO: ngram_model_dmp.c(649):        2 = #bigrams created
INFO: ngram_model_dmp.c(650):        2 = #prob2 entries
INFO: ngram_model_dmp.c(657):        3 = #bo_wt2 entries
INFO: ngram_model_dmp.c(661):        1 = #trigrams created
INFO: ngram_model_dmp.c(662):        2 = #prob3 entries
2015-08-04 17:18:52.554 App_Name[50827:4272534] Done creating language model with CMUCLMTK in 0.115380 seconds.
2015-08-04 17:18:52.579 App_Name[50827:4272534] I'm done running performDictionaryLookup and it took 0.004318 seconds
2015-08-04 17:18:52.587 App_Name[50827:4272534] I'm done running dynamic language model generation and it took 0.159274 seconds
2015-08-04 17:18:52.587 App_Name[50827:4272534] Valid setSecondsOfSilence value of 0.200000 will be used.
INFO: cmn_prior.c(131): cmn_prior_update: from < 57.29  5.73 -11.50  8.72 -0.13  7.50 -5.11 -8.93 -2.48 -6.79 -6.31 -2.05 -8.11 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 57.29  5.73 -11.50  8.72 -0.13  7.50 -5.11 -8.93 -2.48 -6.79 -6.31 -2.05 -8.11 >
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
2015-08-04 17:18:52.692 App_Name[50827:4273056] there is a request to change to the language model file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.DMP
2015-08-04 17:18:52.693 App_Name[50827:4273056] The language model ID is 1438683532
INFO: cmd_ln.c(702): Parsing command line:

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-allphone
-allphone_ci	no		no
-alpha		0.97		9.700000e-01
-ascale		20.0		2.000000e+01
-aw		1		1
-backtrace	no		no
-beam		1e-48		1.000000e-48
-bestpath	yes		yes
-bestpathlw	9.5		9.500000e+00
-bghist		no		no
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		8.0
-compallsen	no		no
-debug				0
-dict
-dictcase	no		no
-dither		no		no
-doublebw	no		no
-ds		1		1
-fdict
-feat		1s_c_d_dd	1s_c_d_dd
-featparams
-fillprob	1e-8		1.000000e-08
-frate		100		100
-fsg
-fsgusealtpron	yes		yes
-fsgusefiller	yes		yes
-fwdflat	yes		yes
-fwdflatbeam	1e-64		1.000000e-64
-fwdflatefwid	4		4
-fwdflatlw	8.5		8.500000e+00
-fwdflatsfwin	25		25
-fwdflatwbeam	7e-29		7.000000e-29
-fwdtree	yes		yes
-hmm
-input_endian	little		little
-jsgf
-kdmaxbbi	-1		-1
-kdmaxdepth	0		0
-kdtree
-keyphrase
-kws
-kws_plp	1e-1		1.000000e-01
-kws_threshold	1		1.000000e+00
-latsize	5000		5000
-lda
-ldadim		0		0
-lextreedump	0		0
-lifter		0		0
-lm
-lmctl
-lmname
-logbase	1.0001		1.000100e+00
-logfn
-logspec	no		no
-lowerf		133.33334	1.333333e+02
-lpbeam		1e-40		1.000000e-40
-lponlybeam	7e-29		7.000000e-29
-lw		6.5		6.500000e+00
-maxhmmpf	10000		10000
-maxnewoov	20		20
-maxwpf		-1		-1
-mdef
-mean
-mfclogdir
-min_endfr	0		0
-mixw
-mixwfloor	0.0000001	1.000000e-07
-mllr
-mmap		yes		yes
-ncep		13		13
-nfft		512		512
-nfilt		40		40
-nwpen		1.0		1.000000e+00
-pbeam		1e-48		1.000000e-48
-pip		1.0		1.000000e+00
-pl_beam	1e-10		1.000000e-10
-pl_pbeam	1e-5		1.000000e-05
-pl_window	0		0
-rawlogdir
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-sendump
-senlogdir
-senmgau
-silprob	0.005		5.000000e-03
-smoothspec	no		no
-svspec
-tmat
-tmatfloor	0.0001		1.000000e-04
-topn		4		4
-topn_beam	0		0
-toprule
-transform	legacy		legacy
-unit_area	yes		yes
-upperf		6855.4976	6.855498e+03
-usewdphones	no		no
-uw		1.0		1.000000e+00
-vad_postspeech	50		50
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-var
-varfloor	0.0001		1.000000e-04
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wbeam		7e-29		7.000000e-29
-wip		0.65		6.500000e-01
-wlen		0.025625	2.562500e-02

INFO: dict.c(320): Allocating 4106 * 32 bytes (128 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 1 words read
INFO: dict.c(342): Reading filler dictionary: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/noisedict
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(345): 9 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 46^3 * 2 bytes (190 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 51152 bytes (49 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 51152 bytes (49 KiB) for single-phone word triphones
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 9 single-phone words
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 9 single-phone words
2015-08-04 17:18:52.711 App_Name[50827:4273056] Success loading the specified dictionary file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.dic.
INFO: ngram_model_arpa.c(79): No \data\ mark in LM file
INFO: ngram_model_dmp.c(166): Will use memory-mapped I/O for LM file
INFO: ngram_model_dmp.c(220): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_dmp.c(266):        3 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(312):        2 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(338):        1 = LM.trigrams read
INFO: ngram_model_dmp.c(363):        2 = LM.prob2 entries read
INFO: ngram_model_dmp.c(383):        3 = LM.bo_wt2 entries read
INFO: ngram_model_dmp.c(403):        2 = LM.prob3 entries read
INFO: ngram_model_dmp.c(431):        1 = LM.tseg_base entries read
INFO: ngram_model_dmp.c(487):        3 = ascii word strings read
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 128
INFO: ngram_search_fwdtree.c(339): after: 1 root, 0 non-root channels, 9 single-phone words
INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
2015-08-04 17:18:52.713 App_Name[50827:4273056] Success loading the specified language model file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.DMP.
2015-08-04 17:18:52.714 App_Name[50827:4273056] Changed language model. Project has these words or phrases in its dictionary:
C
INFO: cmn_prior.c(131): cmn_prior_update: from < 57.29  5.73 -11.50  8.72 -0.13  7.50 -5.11 -8.93 -2.48 -6.79 -6.31 -2.05 -8.11 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 57.29  5.73 -11.50  8.72 -0.13  7.50 -5.11 -8.93 -2.48 -6.79 -6.31 -2.05 -8.11 >
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
2015-08-04 17:18:52.724 App_Name[50827:4272534] Pocketsphinx is now using the following language model:
/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.DMP and the following dictionary: /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_C_2.dic
2015-08-04 17:18:52.829 App_Name[50827:4273056] Speech detected...
2015-08-04 17:18:52.830 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-3821) and an utterance ID of 11.
2015-08-04 17:18:52.950 App_Name[50827:4273056] Pocketsphinx heard "" with a score of (-4873) and an utterance ID of 12.
2015-08-04 17:18:53.070 App_Name[50827:4273056] End of speech detected...
INFO: cmn_prior.c(131): cmn_prior_update: from < 57.29  5.73 -11.50  8.72 -0.13  7.50 -5.11 -8.93 -2.48 -6.79 -6.31 -2.05 -8.11 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 58.03  3.50 -9.27  6.71 -0.63  7.91 -2.92 -6.81 -2.32 -6.02 -8.06 -2.33 -7.31 >
INFO: ngram_search_fwdtree.c(1550):      290 words recognized (8/fr)
INFO: ngram_search_fwdtree.c(1552):     2547 senones evaluated (73/fr)
INFO: ngram_search_fwdtree.c(1556):     1181 channels searched (33/fr), 31 1st, 1150 last
INFO: ngram_search_fwdtree.c(1559):      310 words for which last channels evaluated (8/fr)
INFO: ngram_search_fwdtree.c(1561):       29 candidate words for entering last phone (0/fr)
INFO: ngram_search_fwdtree.c(1564): fwdtree 0.06 CPU 0.177 xRT
INFO: ngram_search_fwdtree.c(1567): fwdtree 0.36 wall 1.018 xRT
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 3 words
INFO: ngram_search_fwdflat.c(938):      242 words recognized (7/fr)
INFO: ngram_search_fwdflat.c(940):     2652 senones evaluated (76/fr)
INFO: ngram_search_fwdflat.c(942):     1228 channels searched (35/fr)
INFO: ngram_search_fwdflat.c(944):      329 words searched (9/fr)
INFO: ngram_search_fwdflat.c(947):       91 word transitions (2/fr)
INFO: ngram_search_fwdflat.c(950): fwdflat 0.00 CPU 0.013 xRT
INFO: ngram_search_fwdflat.c(953): fwdflat 0.00 wall 0.013 xRT
INFO: ngram_search.c(1215): </s> not found in last frame, using C.33 instead
INFO: ngram_search.c(1268): lattice start node <s>.0 end node C.26
INFO: ngram_search.c(1294): Eliminated 9 nodes before end node
INFO: ngram_search.c(1399): Lattice has 61 nodes, 198 links
INFO: ps_lattice.c(1368): Normalizer P(O) = alpha(C:26:33) = -297153
INFO: ps_lattice.c(1403): Joint P(O,S) = -297589 P(S|O) = -436
INFO: ngram_search.c(890): bestpath 0.00 CPU 0.002 xRT
INFO: ngram_search.c(893): bestpath 0.00 wall 0.002 xRT
2015-08-04 17:18:53.080 App_Name[50827:4273056] Pocketsphinx heard "C" with a score of (-5748) and an utterance ID of 13.
2015-08-04 17:18:53.090 App_Name[50827:4272534] rapidEarsDidReceiveFinishedSpeechHypothesis: C with score: -5748
2015-08-04 17:18:53.091 App_Name[50827:4272534] Play effect sound
2015-08-04 17:18:55.093 App_Name[50827:4272534] Starting OpenEars logging for OpenEars version 2.03 on 64-bit device (or build): iPad running iOS version: 8.300000
2015-08-04 17:18:55.104 App_Name[50827:4272534] Starting dynamic language model generation

INFO: cmd_ln.c(702): Parsing command line:
sphinx_lm_convert \
-i /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.arpa \
-o /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.DMP

Current configuration:
[NAME]		[DEFLT]	[VALUE]
-case
-debug			0
-help		no	no
-i			/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.arpa
-ienc
-ifmt
-logbase	1.0001	1.000100e+00
-mmap		no	no
-o			/var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.DMP
-oenc		utf8	utf8
-ofmt

INFO: ngram_model_arpa.c(504): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_arpa.c(137): Reading unigrams
INFO: ngram_model_arpa.c(543):        3 = #unigrams created
INFO: ngram_model_arpa.c(197): Reading bigrams
INFO: ngram_model_arpa.c(561):        2 = #bigrams created
INFO: ngram_model_arpa.c(562):        2 = #prob2 entries
INFO: ngram_model_arpa.c(570):        3 = #bo_wt2 entries
INFO: ngram_model_arpa.c(294): Reading trigrams
INFO: ngram_model_arpa.c(583):        1 = #trigrams created
INFO: ngram_model_arpa.c(584):        2 = #prob3 entries
INFO: ngram_model_dmp.c(518): Building DMP model...
INFO: ngram_model_dmp.c(548):        3 = #unigrams created
INFO: ngram_model_dmp.c(649):        2 = #bigrams created
INFO: ngram_model_dmp.c(650):        2 = #prob2 entries
INFO: ngram_model_dmp.c(657):        3 = #bo_wt2 entries
INFO: ngram_model_dmp.c(661):        1 = #trigrams created
INFO: ngram_model_dmp.c(662):        2 = #prob3 entries
2015-08-04 17:18:55.224 App_Name[50827:4272534] Done creating language model with CMUCLMTK in 0.119595 seconds.
2015-08-04 17:18:55.236 App_Name[50827:4272534] I'm done running performDictionaryLookup and it took 0.006811 seconds
2015-08-04 17:18:55.245 App_Name[50827:4272534] I'm done running dynamic language model generation and it took 0.150872 seconds
2015-08-04 17:18:55.246 App_Name[50827:4272534] Valid setSecondsOfSilence value of 0.200000 will be used.
INFO: cmn_prior.c(131): cmn_prior_update: from < 58.03  3.50 -9.27  6.71 -0.63  7.91 -2.92 -6.81 -2.32 -6.02 -8.06 -2.33 -7.31 >
INFO: cmn_prior.c(149): cmn_prior_update: to   < 58.03  3.50 -9.27  6.71 -0.63  7.91 -2.92 -6.81 -2.32 -6.02 -8.06 -2.33 -7.31 >
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
2015-08-04 17:18:55.376 App_Name[50827:4273012] there is a request to change to the language model file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.DMP
2015-08-04 17:18:55.377 App_Name[50827:4273012] The language model ID is 1438683535
INFO: cmd_ln.c(702): Parsing command line:

Current configuration:
[NAME]		[DEFLT]		[VALUE]
-agc		none		none
-agcthresh	2.0		2.000000e+00
-allphone
-allphone_ci	no		no
-alpha		0.97		9.700000e-01
-ascale		20.0		2.000000e+01
-aw		1		1
-backtrace	no		no
-beam		1e-48		1.000000e-48
-bestpath	yes		yes
-bestpathlw	9.5		9.500000e+00
-bghist		no		no
-ceplen		13		13
-cmn		current		current
-cmninit	8.0		8.0
-compallsen	no		no
-debug				0
-dict
-dictcase	no		no
-dither		no		no
-doublebw	no		no
-ds		1		1
-fdict
-feat		1s_c_d_dd	1s_c_d_dd
-featparams
-fillprob	1e-8		1.000000e-08
-frate		100		100
-fsg
-fsgusealtpron	yes		yes
-fsgusefiller	yes		yes
-fwdflat	yes		yes
-fwdflatbeam	1e-64		1.000000e-64
-fwdflatefwid	4		4
-fwdflatlw	8.5		8.500000e+00
-fwdflatsfwin	25		25
-fwdflatwbeam	7e-29		7.000000e-29
-fwdtree	yes		yes
-hmm
-input_endian	little		little
-jsgf
-kdmaxbbi	-1		-1
-kdmaxdepth	0		0
-kdtree
-keyphrase
-kws
-kws_plp	1e-1		1.000000e-01
-kws_threshold	1		1.000000e+00
-latsize	5000		5000
-lda
-ldadim		0		0
-lextreedump	0		0
-lifter		0		0
-lm
-lmctl
-lmname
-logbase	1.0001		1.000100e+00
-logfn
-logspec	no		no
-lowerf		133.33334	1.333333e+02
-lpbeam		1e-40		1.000000e-40
-lponlybeam	7e-29		7.000000e-29
-lw		6.5		6.500000e+00
-maxhmmpf	10000		10000
-maxnewoov	20		20
-maxwpf		-1		-1
-mdef
-mean
-mfclogdir
-min_endfr	0		0
-mixw
-mixwfloor	0.0000001	1.000000e-07
-mllr
-mmap		yes		yes
-ncep		13		13
-nfft		512		512
-nfilt		40		40
-nwpen		1.0		1.000000e+00
-pbeam		1e-48		1.000000e-48
-pip		1.0		1.000000e+00
-pl_beam	1e-10		1.000000e-10
-pl_pbeam	1e-5		1.000000e-05
-pl_window	0		0
-rawlogdir
-remove_dc	no		no
-remove_noise	yes		yes
-remove_silence	yes		yes
-round_filters	yes		yes
-samprate	16000		1.600000e+04
-seed		-1		-1
-sendump
-senlogdir
-senmgau
-silprob	0.005		5.000000e-03
-smoothspec	no		no
-svspec
-tmat
-tmatfloor	0.0001		1.000000e-04
-topn		4		4
-topn_beam	0		0
-toprule
-transform	legacy		legacy
-unit_area	yes		yes
-upperf		6855.4976	6.855498e+03
-usewdphones	no		no
-uw		1.0		1.000000e+00
-vad_postspeech	50		50
-vad_prespeech	10		10
-vad_threshold	2.0		2.000000e+00
-var
-varfloor	0.0001		1.000000e-04
-varnorm	no		no
-verbose	no		no
-warp_params
-warp_type	inverse_linear	inverse_linear
-wbeam		7e-29		7.000000e-29
-wip		0.65		6.500000e-01
-wlen		0.025625	2.562500e-02

INFO: dict.c(320): Allocating 4106 * 32 bytes (128 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 1 words read
INFO: dict.c(342): Reading filler dictionary: /private/var/mobile/Containers/Bundle/Application/54D4920A-C3CD-4480-94F2-8654421B4D13/App_Name.app/AcousticModelEnglish.bundle/noisedict
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(345): 9 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 46^3 * 2 bytes (190 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 51152 bytes (49 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 51152 bytes (49 KiB) for single-phone word triphones
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 9 single-phone words
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 9 single-phone words
INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 10 single-phone words
INFO: ngram_search_fwdtree.c(186): Creating search tree
INFO: ngram_search_fwdtree.c(192): before: 0 root, 0 non-root channels, 10 single-phone words
ERROR: "ngram_search_fwdtree.c", line 336: No word from the language model has pronunciation in the dictionary
INFO: ngram_search_fwdtree.c(339): after: 0 root, 0 non-root channels, 9 single-phone words
2015-08-04 17:18:55.393 App_Name[50827:4273012] Success loading the specified dictionary file /var/mobile/Containers/Data/Application/AE23615A-AB76-4AC4-98BB-0F72F026A2DB/Library/Caches/lession_vocal_D_3.dic.
INFO: ngram_model_arpa.c(79): No \data\ mark in LM file
INFO: ngram_model_dmp.c(166): Will use memory-mapped I/O for LM file
INFO: ngram_model_dmp.c(220): ngrams 1=3, 2=2, 3=1
INFO: ngram_model_dmp.c(266):        3 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(312):        2 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(338):        1 = LM.trigrams read
INFO: ngram_model_dmp.c(363):        2 = LM.prob2 entries read
INFO: ngram_model_dmp.c(383):        3 = LM.bo_wt2 entries read
INFO: ngram_model_dmp.c(403):        2 = LM.prob3 entries read
INFO: ngram_model_dmp.c(431):        1 = LM.tseg_base entries read
INFO: ngram_model_dmp.c(487):        3 = ascii word strings read
App_Name(50827,0x103588000) malloc: *** error for object 0x1702910d0: Invalid pointer dequeued from free list
*** set a breakpoint in malloc_error_break to debug
(lldb)

call stack:

Thread 12Queue : com.apple.root.default-qos (concurrent)
#0	0x00000001948c7270 in __pthread_kill ()
#1	0x0000000194965170 in pthread_kill ()
#2	0x000000019483eb18 in abort ()
#3	0x00000001949023e4 in nanozone_error ()
#4	0x0000000194902550 in _nano_malloc_check_clear ()
#5	0x00000001949010dc in nano_calloc ()
#6	0x00000001948f595c in malloc_zone_calloc ()
#7	0x00000001948f58bc in calloc ()
#8	0x00000001004c7478 in __ckd_calloc_2d__ ()
#9	0x0000000100474c40 in ngram_search_init ()
#10	0x000000010046933c in ps_set_lm_file ()
#11	0x0000000100479f9c in ___lldb_unnamed_function183$$StampDrill ()
#12	0x0000000100461438 in ___lldb_unnamed_function78$$StampDrill ()
#13	0x0000000100461ac8 in ___lldb_unnamed_function82$$StampDrill ()
#14	0x000000010137cf94 in _dispatch_client_callout ()
#15	0x0000000101394848 in _dispatch_source_latch_and_call ()
#16	0x000000010137f1c0 in _dispatch_source_invoke ()
#17	0x000000010138a5d4 in _dispatch_root_queue_drain ()
#18	0x000000010138c248 in _dispatch_worker_thread3 ()
#19	0x000000019496122c in _pthread_wqthread ()

[Halle Winkler]

OK, before we continue, this log shows that your OpenEars version is 2.03. Please upgrade to the most-recent versions of OpenEars before we do more troubleshooting since OpenEars 2.03 isn’t expected to be compatible with RapidEars 2.04:

https://www.politepix.com/openears/changelog/

[anhtu]

Well, it is so weird. My co-worker said he updated RapidEars to 2.04.
I will ask him to update and try again. And I will post the result tomorrow also.

Thank you.

[Halle Winkler]

RapidEars could be 2.04 (the logging doesn’t say and I wouldn’t assume) however, RapidEars is just the plugin, you are also using OpenEars and you also have to use a version of OpenEars which is compatible with your version of RapidEars. When you upgrade or install RapidEars, it is also necessary to make sure you are using the latest version of OpenEars. Your version of OpenEars is version 2.03, which I would expect to have problems when used with RapidEars 2.04 since the last two OpenEars versions contained fixes for RapidEars-related issues:

https://www.politepix.com/openears/changelog/

Make sure to take all normal troubleshooting steps after your upgrade such as verifying by looking at the logging output that you are now using the current version of OpenEars and cleaning your project. Also very important to make sure that you have the standard shipping acoustic model in use since you mentioned altering it in a previous post. If you are still having issues after that we can look into this more.

[anhtu]

I’m sorry. This is my mistake. I dont upgrade OpenEars to version 2.041. The problem is solved. Thank you very much.

[Halle Winkler]

Glad to hear it’s solved!

[Author]

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