Home › Forums › OpenEars plugins › RapidEars 2.04 – crash when using within Cocos2d › Reply To: RapidEars 2.04 – crash when using within Cocos2d
August 4, 2015 at 12:26 pm
#1026492
anhtu
Participant
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 ()