ming

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  • March 19, 2020 at 9:47 pm in reply to: Proper way to start/stop OE? #1033120
    ming
    Participant

    Hi Halle,

    Thanks for the quick response. I’ll google some more. :)

    March 19, 2020 at 8:09 pm in reply to: Proper way to start/stop OE? #1033118
    ming
    Participant

    Hi Halle,

    Thanks for the response. I have looked into the OELogging documentations. However, I having trouble getting the method startOpenEarsLogging() to be called successfully. My app is developed in Xamarin and I am having difficulty with binding OELogging -> (id) startOpenEarsLogging() method into a C# equivalent method. I have googled Objective-C “id” type and its C# equivalent, but I didn’t find much.

    Currently, I have binding codes as follow:

    // @interface OELogging : NSObject
    [BaseType(typeof(NSObject))]
    interface OELogging
    {
    // @optional -(id)startOpenEarsLogging;
    [Export(“startOpenEarsLogging”)]
    NSObject StartOpenEarsLogging();
    }

    That compiles fine, but when I call the StartOpenEarsLoggin() mthod, it throws an Object-C NSInvalidArgumentException.

    Do you have any suggestion?

    Thanks again!

    March 18, 2020 at 8:04 pm in reply to: Proper way to start/stop OE? #1033112
    ming
    Participant

    Hi Halle,

    I just ran the app with the VerbosePocktSphinx set to true. I will copy the debug logs below. Thank you so much! Please note the last four lines of the debug logs, the same issue… Also, I am testing this on an iPhone 7+ running iOS 13.3.1.

    INFO: pocketsphinx.c(145): Parsed model-specific feature parameters from /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/feat.params
    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
    -ceplen 13 13
    -cmn current current
    -cmninit 8.0 8.0
    -compallsen no no
    -debug 0
    -dict /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-2039687996.dic
    -dictcase no no
    -dither no no
    -doublebw no no
    -ds 1 1
    -fdict /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/noisedict
    -feat 1s_c_d_dd 1s_c_d_dd
    -featparams /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/feat.params
    -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/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle
    -input_endian little little
    -jsgf
    -keyphrase
    -kws
    -kws_delay 10 10
    -kws_plp 1e-1 1.000000e-01
    -kws_threshold 1 1.000000e+00
    -latsize 5000 5000
    -lda /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/feature_transform
    -ldadim 0 0
    -lifter 0 22
    -lm /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-2039687996.DMP
    -lmctl
    -lmname
    -logbase 1.0001 1.000100e+00
    -logfn
    -logspec no no
    -lowerf 133.33334 1.300000e+02
    -lpbeam 1e-40 1.000000e-40
    -lponlybeam 7e-29 7.000000e-29
    -lw 6.5 6.500000e+00
    -maxhmmpf 30000 30000
    -maxwpf -1 -1
    -mdef /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/mdef
    -mean /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/means
    -mfclogdir
    -min_endfr 0 0
    -mixw /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/mixture_weights
    -mixwfloor 0.0000001 1.000000e-07
    -mllr
    -mmap yes yes
    -ncep 13 13
    -nfft 512 512
    -nfilt 40 20
    -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-10 1.000000e-10
    -pl_pip 1.0 1.000000e+00
    -pl_weight 3.0 3.000000e+00
    -pl_window 5 5
    -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 /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/transition_matrices
    -tmatfloor 0.0001 1.000000e-04
    -topn 4 4
    -topn_beam 0 0
    -toprule
    -transform legacy dct
    -unit_area yes yes
    -upperf 6855.4976 3.700000e+03
    -uw 1.0 1.000000e+00
    -vad_postspeech 50 69
    -vad_prespeech 20 10
    -vad_startspeech 10 10
    -vad_threshold 2.0 2.300000e+00
    -var /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/variances
    -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: 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(154): Reading linear feature transformation from /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/feature_transform
    INFO: mdef.c(518): Reading model definition: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/mdef
    INFO: bin_mdef.c(181): Allocating 142108 * 8 bytes (1110 KiB) for CD tree
    INFO: tmat.c(206): Reading HMM transition probability matrices: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/transition_matrices
    INFO: acmod.c(117): Attempting to use PTM computation module
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/means
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/variances
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(354): 0 variance values floored
    INFO: ptm_mgau.c(801): Number of codebooks exceeds 256: 5126
    INFO: acmod.c(119): Attempting to use semi-continuous computation module
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/means
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/variances
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(354): 0 variance values floored
    INFO: acmod.c(121): Falling back to general multi-stream GMM computation
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/means
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/variances
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(354): 0 variance values floored
    INFO: ms_senone.c(149): Reading senone mixture weights: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/mixture_weights
    INFO: ms_senone.c(200): Truncating senone logs3(pdf) values by 10 bits
    INFO: ms_senone.c(207): Not transposing mixture weights in memory
    INFO: ms_senone.c(268): Read mixture weights for 5126 senones: 1 features x 32 codewords
    INFO: ms_senone.c(320): Mapping senones to individual codebooks
    INFO: ms_mgau.c(141): The value of topn: 4
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: dict.c(320): Allocating 4144 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-2039687996.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 43 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 KiB) for single-phone word triphones
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=45, 2=86, 3=43
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 135
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    โ€”โ€”-STARTED LISTENING 12:24:06:9011
    โ€”โ€”-SPEECH DETECTED
    โ€”โ€”-SUSPEND LISTENING 12:24:08:4048
    โ€”โ€”-RESUME LISTENING 12:24:08:4551
    INFO: cmn_prior.c(131): cmn_prior_update: from < 42.00 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 < 42.04 -2.31 8.25 9.10 3.83 3.85 -1.25 -0.21 3.61 1.74 0.44 -2.31 -3.46 >
    INFO: ngram_search_fwdtree.c(1553): 3929 words recognized (26/fr)
    INFO: ngram_search_fwdtree.c(1555): 18197 senones evaluated (122/fr)
    INFO: ngram_search_fwdtree.c(1559): 6828 channels searched (45/fr), 126 1st, 6214 last
    INFO: ngram_search_fwdtree.c(1562): 5414 words for which last channels evaluated (36/fr)
    INFO: ngram_search_fwdtree.c(1564): 32 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.78 CPU 0.522 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 1.57 wall 1.052 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 39 words
    INFO: ngram_search_fwdflat.c(948): 2730 words recognized (18/fr)
    INFO: ngram_search_fwdflat.c(950): 14584 senones evaluated (98/fr)
    INFO: ngram_search_fwdflat.c(952): 6410 channels searched (43/fr)
    INFO: ngram_search_fwdflat.c(954): 4346 words searched (29/fr)
    INFO: ngram_search_fwdflat.c(957): 3907 word transitions (26/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.07 CPU 0.044 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.06 wall 0.041 xRT
    INFO: dict.c(320): Allocating 4154 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-1913019128.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 53 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 KiB) for single-phone word triphones
    INFO: ngram_search_fwdtree.c(99): 9 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 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, 44 single-phone words
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=49, 2=94, 3=47
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 9 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 151
    INFO: ngram_search_fwdtree.c(339): after: 9 root, 23 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    INFO: cmn_prior.c(131): cmn_prior_update: from < 42.04 -2.31 8.25 9.10 3.83 3.85 -1.25 -0.21 3.61 1.74 0.44 -2.31 -3.46 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 42.04 -2.31 8.25 9.10 3.83 3.85 -1.25 -0.21 3.61 1.74 0.44 -2.31 -3.46 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    โ€”โ€”-SPEECH DETECTED
    INFO: cmn_prior.c(131): cmn_prior_update: from < 42.04 -2.31 8.25 9.10 3.83 3.85 -1.25 -0.21 3.61 SPEECH NO LONGER DETECTED
    1.74 0.44 -2.31 -3.46 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 39.95 -3.07 2.90 4.78 12.49 12.31 -8.33 -6.18 1.16 20.09 -1.25 -10.09 -6.97 >
    INFO: ngram_search_fwdtree.c(1553): 1580 words recognized (20/fr)
    INFO: ngram_search_fwdtree.c(1555): 13484 senones evaluated (169/fr)
    INFO: ngram_search_fwdtree.c(1559): 4803 channels searched (60/fr), 684 1st, 3211 last
    INFO: ngram_search_fwdtree.c(1562): 3211 words for which last channels evaluated (40/fr)
    INFO: ngram_search_fwdtree.c(1564): 79 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.33 CPU 0.413 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 0.90 wall 1.125 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 18 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.001 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    โ€”โ€”-SPEECH DETECTED
    INFO: cmn_prior.c(131): cmn_prior_update: from < 39.95 -3.07 2.90 4.78 12.49 SPEECH NO LONGER DETECTED
    12.31 -8.33 -6.18 1.16 20.09 -1.25 -10.09 -6.97 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 40.10 -1.69 2.39 5.73 9.63 8.91 -5.81 -1.59 1.96 14.08 -0.88 -7.71 -5.75 >
    INFO: ngram_search_fwdtree.c(1553): 3401 words recognized (32/fr)
    INFO: ngram_search_fwdtree.c(1555): 23555 senones evaluated (224/fr)
    INFO: ngram_search_fwdtree.c(1559): 11021 channels searched (104/fr), 904 1st, 8301 last
    INFO: ngram_search_fwdtree.c(1562): 4485 words for which last channels evaluated (42/fr)
    INFO: ngram_search_fwdtree.c(1564): 377 candidate words for entering last phone (3/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.30 CPU 0.286 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 1.18 wall 1.128 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 45 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.001 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    โ€”โ€”-SUSPEND LISTENING 12:24:10:7537
    โ€”โ€”-RESUME LISTENING 12:24:10:7682
    INFO: cmn_prior.c(131): cmn_prior_update: from < 40.10 -1.69 2.39 5.73 9.63 8.91 -5.81 -1.59 1.96 14.08 -0.88 -7.71 -5.75 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 40.10 -1.69 2.39 5.73 9.63 8.91 -5.81 -1.59 1.96 14.08 -0.88 -7.71 -5.75 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    INFO: dict.c(320): Allocating 4144 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-2039687996.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 43 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 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, 44 single-phone words
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=45, 2=86, 3=43
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 135
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    INFO: cmn_prior.c(131): cmn_prior_update: from < 40.10 -1.69 2.39 5.73 9.63 8.91 -5.81 -1.59 1.96 14.08 -0.88 -7.71 -5.75 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 40.10 -1.69 2.39 5.73 9.63 8.91 -5.81 -1.59 1.96 14.08 -0.88 -7.71 -5.75 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    โ€”โ€”-SPEECH DETECTED
    INFO: cmn_prior.c(131): cmn_prior_update: from < 40.10 -1.69 2.39 5.73 9.63 8.91 SPEECH NO LONGER DETECTED
    -5.81 -1.59 1.96 14.08 -0.88 -7.71 -5.75 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 37.44 -0.85 3.55 5.90 10.06 8.83 -2.37 0.03 2.30 11.80 -0.04 -6.02 -5.28 >
    INFO: ngram_search_fwdtree.c(1553): 3575 words recognized (33/fr)
    INFO: ngram_search_fwdtree.c(1555): 14404 senones evaluated (132/fr)
    INFO: ngram_search_fwdtree.c(1559): 4977 channels searched (45/fr), 105 1st, 4567 last
    INFO: ngram_search_fwdtree.c(1562): 4567 words for which last channels evaluated (41/fr)
    INFO: ngram_search_fwdtree.c(1564): 0 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.73 CPU 0.667 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 1.53 wall 1.402 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 34 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.001 xRT
    โ€”โ€”-SUSPEND LISTENING 12:24:12:5695
    2020-03-18 12:24:12.617 MyApp[6150:1312437] Got the query meta data reply for: com.apple.MobileAsset.VoiceServicesVocalizerVoice, response: 0
    2020-03-18 12:24:12.631 MyApp[6150:1312437] Consumed extension
    2020-03-18 12:24:12.872 MyApp[6150:1312437] Got the query meta data reply for: com.apple.MobileAsset.VoiceServices.VoiceResources, response: 0
    โ€”โ€”-RESUME LISTENING 12:24:23:7628
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.44 -0.85 3.55 5.90 10.06 8.83 -2.37 0.03 2.30 11.80 -0.04 -6.02 -5.28 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 37.44 -0.85 3.55 5.90 10.06 8.83 -2.37 0.03 2.30 11.80 -0.04 -6.02 -5.28 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    INFO: dict.c(320): Allocating 4144 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-2039687996.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 43 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 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, 44 single-phone words
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=45, 2=86, 3=43
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 135
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.44 -0.85 3.55 5.90 10.06 8.83 -2.37 0.03 2.30 11.80 -0.04 -6.02 -5.28 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 37.44 -0.85 3.55 5.90 10.06 8.83 -2.37 0.03 2.30 11.80 -0.04 -6.02 -5.28 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    โ€”โ€”-SPEECH DETECTED
    INFO: ngram_search.c(465): Resized backpointer table to 10000 entries
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.44 -0.85 3.55 5.90 10.06 SPEECH NO LONGER DETECTED
    8.83 -2.37 0.03 2.30 11.80 -0.04 -6.02 -5.28 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 37.20 -2.81 0.83 4.77 7.15 7.33 0.56 2.14 3.34 8.41 1.08 -4.00 -3.79 >
    INFO: ngram_search_fwdtree.c(1553): 9473 words recognized (37/fr)
    INFO: ngram_search_fwdtree.c(1555): 35557 senones evaluated (137/fr)
    INFO: ngram_search_fwdtree.c(1559): 12149 channels searched (46/fr), 255 1st, 10736 last
    INFO: ngram_search_fwdtree.c(1562): 10736 words for which last channels evaluated (41/fr)
    INFO: ngram_search_fwdtree.c(1564): 2 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 1.24 CPU 0.479 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 2.63 wall 1.016 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 38 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.001 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.001 xRT
    โ€”โ€”-SUSPEND LISTENING 12:24:27:8964
    โ€”โ€”-RESUME LISTENING 12:24:35:8073
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.20 -2.81 0.83 4.77 7.15 7.33 0.56 2.14 3.34 8.41 1.08 -4.00 -3.79 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 37.20 -2.81 0.83 4.77 7.15 7.33 0.56 2.14 3.34 8.41 1.08 -4.00 -3.79 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    INFO: dict.c(320): Allocating 4144 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/8EFC6EDC-B762-42E9-AAD8-3C21DB205849/Library/Caches/-2039687996.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 43 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/2368477B-ECB7-40D2-AAF7-FA324AB0369F/MyApp.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 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, 44 single-phone words
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=45, 2=86, 3=43
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 135
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.20 -2.81 0.83 4.77 7.15 7.33 0.56 2.14 3.34 8.41 1.08 -4.00 -3.79 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 37.20 -2.81 0.83 4.77 7.15 7.33 0.56 2.14 3.34 8.41 1.08 -4.00 -3.79 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    โ€”โ€”-SPEECH DETECTED
    INFO: cmn_prior.c(99): cmn_prior_update: from < 37.20 -2.81 0.83 4.77 7.15 7.33 0.56 2.14 3.34 8.41 1.08 -4.00 -3.79 >
    INFO: cmn_prior.c(116): cmn_prior_update: to < 37.49 -2.94 0.85 3.57 7.17 6.91 1.26 2.56 3.63 8.16 1.17 -3.54 -4.03 >
    INFO: ngram_search.c(465): Resized backpointer table to 10000 entries
    INFO: ngram_search.c(465): Resized backpointer table to 20000 entries
    โ€”โ€”-Suspend & Close the RapidEars controller when the app is interrupted with a phone call
    โ€”โ€”-SUSPEND LISTENING 12:24:39:6928
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.49 -2.94 0.85 3.57 7.17 6.91 1.26 2.56 3.63 8.16 1.17 -3.54 -4.03 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 34.98 -3.30 2.22 4.03 5.73 6.02 3.17 3.30 4.28 6.56 1.51 -2.70 -3.90 >
    INFO: ngram_search_fwdtree.c(1553): 13736 words recognized (37/fr)
    INFO: ngram_search_fwdtree.c(1555): 52637 senones evaluated (141/fr)
    INFO: ngram_search_fwdtree.c(1559): 17896 channels searched (48/fr), 368 1st, 15787 last
    INFO: ngram_search_fwdtree.c(1562): 15787 words for which last channels evaluated (42/fr)
    INFO: ngram_search_fwdtree.c(1564): 36 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 2.01 CPU 0.541 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 6.07 wall 1.632 xRT
    โ€”โ€”-LISTENER CLOSED 12:24:42:0513
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 39 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 3.93 CPU 1.524 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 11.97 wall 4.638 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.001 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.001 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 0.78 CPU 0.526 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 1.57 wall 1.059 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.07 CPU 0.044 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.06 wall 0.041 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 3.92 CPU 3.634 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 13.06 wall 12.094 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.001 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 2.01 CPU 0.542 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 6.07 wall 1.637 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.000 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 0.66 CPU 0.361 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 2.19 wall 1.199 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.001 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.000 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT

    โ€”โ€”-Resume the app to the foreground and attempt to start the RapidEars controller
    โ€”โ€”-Calling Start Recognition – on Thread 12 12: 24:50.490
    2020-03-18 12:24:50.510 MyApp[6150:1311980] couldn’t initialize AURemoteIO instance: ‘!pri’
    โ€”โ€”-Rapid Ears Suspend Recognition is NOT IsListening

    March 18, 2020 at 4:47 pm in reply to: Proper way to start/stop OE? #1033111
    ming
    Participant

    Thanks for getting back to me! I will set the VerbosePocketSphinx property and run the app again. Thanks again for your help!

    March 10, 2020 at 10:28 pm in reply to: Proper way to start/stop OE? #1033106
    ming
    Participant

    Hi Halle,

    I have a related question or issue also. The issue that I am encountering is when the app is resuming (after it was interrupted with a phone call), which it will try to start the RapidEars controller (during the OnActivate(UIApplication) for iOS), but then I will get the following error and IsListening == False:

    2020-03-10 15:07:48.437 KiioMobileiOS[25951:5081298] couldn’t initialize AURemoteIO instance: ‘!pri’

    Any help or suggestion is greatly appreciated! Thanks a lot!

    The full log is copied below (please note that the last four lines of the log is where the issue occurred):

    ——-Rapid Ears Before Calling Start Recognition – isListening = False, 03:07:24.470
    INFO: pocketsphinx.c(145): Parsed model-specific feature parameters from /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/feat.params
    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
    -ceplen 13 13
    -cmn current current
    -cmninit 8.0 8.0
    -compallsen no no
    -debug 0
    -dict /var/mobile/Containers/Data/Application/658F9477-3604-4D96-8803-05FD8B0184E8/Library/Caches/-2039687996.dic
    -dictcase no no
    -dither no no
    -doublebw no no
    -ds 1 1
    -fdict /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/noisedict
    -feat 1s_c_d_dd 1s_c_d_dd
    -featparams /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/feat.params
    -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/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle
    -input_endian little little
    -jsgf
    -keyphrase
    -kws
    -kws_delay 10 10
    -kws_plp 1e-1 1.000000e-01
    -kws_threshold 1 1.000000e+00
    -latsize 5000 5000
    -lda /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/feature_transform
    -ldadim 0 0
    -lifter 0 22
    -lm /var/mobile/Containers/Data/Application/658F9477-3604-4D96-8803-05FD8B0184E8/Library/Caches/-2039687996.DMP
    -lmctl
    -lmname
    -logbase 1.0001 1.000100e+00
    -logfn
    -logspec no no
    -lowerf 133.33334 1.300000e+02
    -lpbeam 1e-40 1.000000e-40
    -lponlybeam 7e-29 7.000000e-29
    -lw 6.5 6.500000e+00
    -maxhmmpf 30000 30000
    -maxwpf -1 -1
    -mdef /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/mdef
    -mean /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/means
    -mfclogdir
    -min_endfr 0 0
    -mixw /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/mixture_weights
    -mixwfloor 0.0000001 1.000000e-07
    -mllr
    -mmap yes yes
    -ncep 13 13
    -nfft 512 512
    -nfilt 40 20
    -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-10 1.000000e-10
    -pl_pip 1.0 1.000000e+00
    -pl_weight 3.0 3.000000e+00
    -pl_window 5 5
    -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 /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/transition_matrices
    -tmatfloor 0.0001 1.000000e-04
    -topn 4 4
    -topn_beam 0 0
    -toprule
    -transform legacy dct
    -unit_area yes yes
    -upperf 6855.4976 3.700000e+03
    -uw 1.0 1.000000e+00
    -vad_postspeech 50 69
    -vad_prespeech 20 10
    -vad_startspeech 10 10
    -vad_threshold 2.0 2.300000e+00
    -var /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/variances
    -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: 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(154): Reading linear feature transformation from /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/feature_transform
    INFO: mdef.c(518): Reading model definition: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/mdef
    INFO: bin_mdef.c(181): Allocating 142108 * 8 bytes (1110 KiB) for CD tree
    INFO: tmat.c(206): Reading HMM transition probability matrices: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/transition_matrices
    INFO: acmod.c(117): Attempting to use PTM computation module
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/means
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/variances
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(354): 0 variance values floored
    INFO: ptm_mgau.c(801): Number of codebooks exceeds 256: 5126
    INFO: acmod.c(119): Attempting to use semi-continuous computation module
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/means
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/variances
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(354): 0 variance values floored
    INFO: acmod.c(121): Falling back to general multi-stream GMM computation
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/means
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/variances
    INFO: ms_gauden.c(292): 5126 codebook, 1 feature, size:
    INFO: ms_gauden.c(294): 32×36
    INFO: ms_gauden.c(354): 0 variance values floored
    INFO: ms_senone.c(149): Reading senone mixture weights: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/mixture_weights
    INFO: ms_senone.c(200): Truncating senone logs3(pdf) values by 10 bits
    INFO: ms_senone.c(207): Not transposing mixture weights in memory
    INFO: ms_senone.c(268): Read mixture weights for 5126 senones: 1 features x 32 codewords
    INFO: ms_senone.c(320): Mapping senones to individual codebooks
    INFO: ms_mgau.c(141): The value of topn: 4
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: dict.c(320): Allocating 4144 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/658F9477-3604-4D96-8803-05FD8B0184E8/Library/Caches/-2039687996.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 43 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 KiB) for single-phone word triphones
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=45, 2=86, 3=43
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 135
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    ——-STARTED LISTENING 03:07:25:6387
    ——-Rapid Ears After Calling Start Recognition – isListening = True, 03:07:25.640
    ——-SPEECH DETECTED
    INFO: ngram_search.c(465): Resized backpointer table to 10000 entries
    INFO: cmn_prior.c(131): cmn_prior_update: from < 37.11 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 SPEECH NO LONGER DETECTED
    0.00 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 31.79 -0.57 4.34 7.46 4.74 5.69 4.18 3.89 -0.09 2.33 1.46 -1.27 0.22 >
    INFO: ngram_search_fwdtree.c(1553): 6970 words recognized (37/fr)
    INFO: ngram_search_fwdtree.c(1555): 26214 senones evaluated (140/fr)
    INFO: ngram_search_fwdtree.c(1559): 8964 channels searched (47/fr), 183 1st, 7948 last
    INFO: ngram_search_fwdtree.c(1562): 7948 words for which last channels evaluated (42/fr)
    INFO: ngram_search_fwdtree.c(1564): 8 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.42 CPU 0.223 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 1.94 wall 1.037 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 38 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    ——-SPEECH DETECTED
    ——-PARTIAL RESULT: (HEY_KIIO); Score: (-1395)
    ——-Rapid Ears Before Calling Suspend Recognition IsSuspended = False – on thread 1
    ——-Rapid Ears After Calling Suspend Recognition IsSuspended = True – on thread 1
    ——-FINAL RESULT: HEY KIIO
    ——-SUSPEND LISTENING 03:07:28:5235
    ——-Rapid Ears Before Calling Resumed Recognition – IsListening = True, 03:07:28.562.
    ——-Rapid Ears After Calling Resumed Recognition – IsListening = True, 03:07:28.564.
    ——-RESUME LISTENING 03:07:28:5661
    INFO: cmn_prior.c(131): cmn_prior_update: from < 31.79 -0.57 4.34 7.46 4.74 5.69 4.18 3.89 -0.09 2.33 1.46 -1.27 0.22 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 36.94 -0.42 6.28 7.58 2.38 3.33 2.66 2.16 0.09 2.01 0.38 -1.58 0.82 >
    INFO: ngram_search_fwdtree.c(1553): 960 words recognized (16/fr)
    INFO: ngram_search_fwdtree.c(1555): 6316 senones evaluated (107/fr)
    INFO: ngram_search_fwdtree.c(1559): 3408 channels searched (57/fr), 38 1st, 3183 last
    INFO: ngram_search_fwdtree.c(1562): 1603 words for which last channels evaluated (27/fr)
    INFO: ngram_search_fwdtree.c(1564): 54 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.24 CPU 0.401 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 1.06 wall 1.791 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 32 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    INFO: dict.c(320): Allocating 4154 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/658F9477-3604-4D96-8803-05FD8B0184E8/Library/Caches/-1913019128.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 53 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 KiB) for single-phone word triphones
    INFO: ngram_search_fwdtree.c(99): 9 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 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, 44 single-phone words
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=49, 2=94, 3=47
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 9 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 151
    INFO: ngram_search_fwdtree.c(339): after: 9 root, 23 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    INFO: cmn_prior.c(131): cmn_prior_update: from < 36.94 -0.42 6.28 7.58 2.38 3.33 2.66 2.16 0.09 2.01 0.38 -1.58 0.82 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 36.94 -0.42 6.28 7.58 2.38 3.33 2.66 2.16 0.09 2.01 0.38 -1.58 0.82 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    ——-SPEECH DETECTED
    ——-SPEECH NO LONGER DETECTED
    INFO: cmn_prior.c(131): cmn_prior_update: from < 36.94 -0.42 6.28 7.58 2.38 3.33 2.66 2.16 0.09 2.01
    0.38 -1.58 0.82 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 38.11 -3.27 -0.11 1.11 11.64 12.66 -6.00 -4.04 -1.43 17.44 -2.37 -7.84 -3.30 >
    INFO: ngram_search_fwdtree.c(1553): 459 words recognized (6/fr)
    INFO: ngram_search_fwdtree.c(1555): 10852 senones evaluated (136/fr)
    INFO: ngram_search_fwdtree.c(1559): 3882 channels searched (48/fr), 684 1st, 2866 last
    INFO: ngram_search_fwdtree.c(1562): 2866 words for which last channels evaluated (35/fr)
    INFO: ngram_search_fwdtree.c(1564): 0 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.22 CPU 0.273 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 1.01 wall 1.265 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 10 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    ——-SPEECH DETECTED
    ——-PARTIAL RESULT: (CANCEL); Score: (-2496)
    ——-SPEECH NO LONGER DETECTED
    INFO: cmn_prior.c(131): cmn_prior_update: from < 38.11 -3.27 -0.11 1.11 11.64 12.66 -6.00 -4.04 -1.43 17.44 -2.37 -7.84 -3.30 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 39.21 -2.42 -0.12 2.01 9.06 9.53 -3.62 -0.80 -0.99 14.51 -2.13 -6.25 -1.72 >
    INFO: ngram_search_fwdtree.c(1553): 3619 words recognized (35/fr)
    INFO: ngram_search_fwdtree.c(1555): 23937 senones evaluated (230/fr)
    INFO: ngram_search_fwdtree.c(1559): 10534 channels searched (101/fr), 898 1st, 7620 last
    INFO: ngram_search_fwdtree.c(1562): 4373 words for which last channels evaluated (42/fr)
    INFO: ngram_search_fwdtree.c(1564): 640 candidate words for entering last phone (6/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 0.61 CPU 0.584 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 2.52 wall 2.423 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 41 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.005 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.001 xRT
    ——-Rapid Ears Before Calling Suspend Recognition IsSuspended = False – on thread 13
    ——-Rapid Ears After Calling Suspend Recognition IsSuspended = True – on thread 13
    ——-SUSPEND LISTENING 03:07:32:3223
    ——-FINAL RESULT: CANCEL
    ——-Rapid Ears Before Calling Resumed Recognition – IsListening = True, 03:07:32.367.
    ——-Rapid Ears After Calling Resumed Recognition – IsListening = True, 03:07:32.368.
    ——-RESUME LISTENING 03:07:32:3690
    INFO: cmn_prior.c(131): cmn_prior_update: from < 39.21 -2.42 -0.12 2.01 9.06 9.53 -3.62 -0.80 -0.99 14.51 -2.13 -6.25 -1.72 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 39.21 -2.42 -0.12 2.01 9.06 9.53 -3.62 -0.80 -0.99 14.51 -2.13 -6.25 -1.72 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    INFO: dict.c(320): Allocating 4144 * 32 bytes (129 KiB) for word entries
    INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/658F9477-3604-4D96-8803-05FD8B0184E8/Library/Caches/-2039687996.dic
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(336): 43 words read
    INFO: dict.c(358): Reading filler dictionary: /private/var/containers/Bundle/Application/E65B8A4E-E4C2-4C37-BC26-F613E1862EB8/KiioMobileiOS.app/AcousticModelEnglish.bundle/noisedict
    INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
    INFO: dict.c(361): 5 words read
    INFO: dict2pid.c(396): Building PID tables for dictionary
    INFO: dict2pid.c(406): Allocating 42^3 * 2 bytes (144 KiB) for word-initial triphones
    INFO: dict2pid.c(132): Allocated 42672 bytes (41 KiB) for word-final triphones
    INFO: dict2pid.c(196): Allocated 42672 bytes (41 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, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 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, 45 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, 45 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, 44 single-phone words
    INFO: phone_loop_search.c(114): State beam -225 Phone exit beam -225 Insertion penalty 0
    INFO: ngram_model_trie.c(424): Trying to read LM in bin format
    INFO: ngram_model_trie.c(457): Header doesn’t match
    INFO: ngram_model_trie.c(180): Trying to read LM in arpa format
    INFO: ngram_model_trie.c(71): No \data\ mark in LM file
    INFO: ngram_model_trie.c(537): Trying to read LM in DMP format
    INFO: ngram_model_trie.c(632): ngrams 1=45, 2=86, 3=43
    INFO: lm_trie.c(317): Training quantizer
    INFO: lm_trie.c(323): Building LM trie
    INFO: ngram_search_fwdtree.c(99): 1 unique initial diphones
    INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 45 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, 45 single-phone words
    INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 135
    INFO: ngram_search_fwdtree.c(339): after: 1 root, 7 non-root channels, 44 single-phone words
    INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
    INFO: cmn_prior.c(131): cmn_prior_update: from < 39.21 -2.42 -0.12 2.01 9.06 9.53 -3.62 -0.80 -0.99 14.51 -2.13 -6.25 -1.72 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 39.21 -2.42 -0.12 2.01 9.06 9.53 -3.62 -0.80 -0.99 14.51 -2.13 -6.25 -1.72 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    ——-SPEECH DETECTED
    INFO: ngram_search.c(465): Resized backpointer table to 10000 entries
    INFO: ngram_search.c(465): Resized backpointer table to 20000 entries
    INFO: cmn_prior.c(99): cmn_prior_update: from < 39.21 -2.42 -0.12 2.01 9.06 9.53 -3.62 -0.80 -0.99 14.51 -2.13 -6.25 -1.72 >
    INFO: cmn_prior.c(116): cmn_prior_update: to < 36.92 -3.28 1.57 3.80 7.53 8.36 1.49 2.78 1.60 9.70 -0.48 -3.97 -1.50 >
    ——-SPEECH NO LONGER DETECTED
    INFO: cmn_prior.c(131): cmn_prior_update: from < 36.92 -3.28 1.57 3.80 7.53 8.36 1.49 2.78 1.60 9.70 -0.48 -3.97 -1.50 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 35.66 -3.16 1.86 3.91 7.15 7.60 2.01 2.97 1.75 8.87 -0.13 -3.27 -1.42 >
    INFO: ngram_search_fwdtree.c(1553): 17315 words recognized (39/fr)
    INFO: ngram_search_fwdtree.c(1555): 64095 senones evaluated (144/fr)
    INFO: ngram_search_fwdtree.c(1559): 21853 channels searched (49/fr), 440 1st, 18972 last
    INFO: ngram_search_fwdtree.c(1562): 18972 words for which last channels evaluated (42/fr)
    INFO: ngram_search_fwdtree.c(1564): 68 candidate words for entering last phone (0/fr)
    INFO: ngram_search_fwdtree.c(1567): fwdtree 1.53 CPU 0.344 xRT
    INFO: ngram_search_fwdtree.c(1570): fwdtree 4.83 wall 1.087 xRT
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 40 words
    INFO: ngram_search_fwdflat.c(948): 0 words recognized (0/fr)
    INFO: ngram_search_fwdflat.c(950): 0 senones evaluated (0/fr)
    INFO: ngram_search_fwdflat.c(952): 0 channels searched (0/fr)
    INFO: ngram_search_fwdflat.c(954): 0 words searched (0/fr)
    INFO: ngram_search_fwdflat.c(957): 0 word transitions (0/fr)
    INFO: ngram_search_fwdflat.c(960): fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(963): fwdflat 0.00 wall 0.000 xRT
    ——-Rapid Ears Before Calling Suspend Recognition IsSuspended = False – on thread 19
    ——-SUSPEND LISTENING 03:07:40:3306
    ——-Rapid Ears After Calling Suspend Recognition IsSuspended = True – on thread 19
    ——-Rapid Ears Before Calling Stop Recognition. IsListening – True – on thread 17
    INFO: cmn_prior.c(131): cmn_prior_update: from < 35.66 -3.16 1.86 3.91 7.15 7.60 2.01 2.97 1.75 8.87 -0.13 -3.27 -1.42 >
    INFO: cmn_prior.c(149): cmn_prior_update: to < 35.66 -3.16 1.86 3.91 7.15 7.60 2.01 2.97 1.75 8.87 -0.13 -3.27 -1.42 >
    INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 0 words
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 1.98 CPU 0.447 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 7.88 wall 1.778 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.001 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 0.65 CPU 0.268 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 3.00 wall 1.228 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.000 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.000 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    INFO: ngram_search_fwdtree.c(432): TOTAL fwdtree 0.91 CPU 0.501 xRT
    INFO: ngram_search_fwdtree.c(435): TOTAL fwdtree 3.82 wall 2.098 xRT
    INFO: ngram_search_fwdflat.c(176): TOTAL fwdflat 0.00 CPU 0.003 xRT
    INFO: ngram_search_fwdflat.c(179): TOTAL fwdflat 0.00 wall 0.000 xRT
    INFO: ngram_search.c(308): TOTAL bestpath 0.00 CPU 0.000 xRT
    INFO: ngram_search.c(311): TOTAL bestpath 0.00 wall 0.000 xRT
    ——-Rapid Ears After Calling Stop Recognition. IsListening – False – on thread 17
    ——-LISTENER CLOSED 03:07:40:4035
    —–> This is where the StartRealtimeListeningWithLanguageModelAtPath(string, string, string) is called during OnActivated(UIApplication) for iOS <——
    ——-Rapid Ears Before Calling Start Recognition – IsListening = False, 03:07:48.418
    2020-03-10 15:07:48.437 KiioMobileiOS[25951:5081298] couldn’t initialize AURemoteIO instance: ‘!pri’
    ——-Rapid Ears After Calling Start Recognition – IsListening = False, 03:07:48.437

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