Reply To: Detection problems in Spanish words.

Home Forums OpenEars Detection problems in Spanish words. Reply To: Detection problems in Spanish words.

#1027188
lytedesigns
Participant

Hello,
we tested a wav generated SaveThatWave saying these words in Spanish:
CARPETA SALUDO COMIDA CARTEL VENEZUELA ELECCIONES GATO DERECHA

In OpenEars + Rejecto we put the words to search:
@”CABEZA”, @”IZQUIERDA”, @”DERECHA”, @”SOBRE”, @”HOLA”, @”CAMBIAR”, @”RÁPIDO”, @”CIUDADANO”, @”URNA”

Still finding words unsaid.

Here is the wav file generated with SaveThatWave from the device:
https://dl.dropboxusercontent.com/u/87410097/Rec_device.wav

Here is the wav file recorded with the device soft and exporter then wav with ‘afconvert’ (the same as I went):
https://dl.dropboxusercontent.com/u/87410097/Rec2.wav

Can you test it?
Thanks

console log running the saveThatWave wav as testFile:

Open to read more

2015-11-04 09:21:07.611 OpenEarsTest[3506:336821] Starting OpenEars logging for OpenEars version 2.04 on 32-bit device (or build): iPhone running iOS version: 8.100000
2015-11-04 09:21:07.863 OpenEarsTest[3506:336821] The word URNA was not found in the dictionary /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/LanguageModelGeneratorLookupList.text/LanguageModelGeneratorLookupList.text.
2015-11-04 09:21:07.865 OpenEarsTest[3506:336821] Now using the fallback method to look up the word URNA
2015-11-04 09:21:07.865 OpenEarsTest[3506:336821] If this is happening more frequently than you would expect, the most likely cause for it is since you are using the Spanish phonetic lookup dictionary is that your words are not in Spanish or aren’t dictionary words.
2015-11-04 09:21:07.867 OpenEarsTest[3506:336821] I’m done running performDictionaryLookup and it took 0.028449 seconds
2015-11-04 09:21:07.870 OpenEarsTest[3506:336821] I’m done running performDictionaryLookup and it took 0.088410 seconds
2015-11-04 09:21:07.880 OpenEarsTest[3506:336821] Starting dynamic language model generation

INFO: cmd_ln.c(702): Parsing command line:
sphinx_lm_convert \
-i /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.arpa \
-o /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.DMP

Current configuration:
[NAME] [DEFLT] [VALUE]
-case
-debug 0
-help no no
-i /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.arpa
-ifmt
-logbase 1.0001 1.000100e+00
-mmap no no
-o /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.DMP
-ofmt

INFO: ngram_model_arpa.c(504): ngrams 1=36, 2=68, 3=34
INFO: ngram_model_arpa.c(137): Reading unigrams
INFO: ngram_model_arpa.c(543): 36 = #unigrams created
INFO: ngram_model_arpa.c(197): Reading bigrams
INFO: ngram_model_arpa.c(561): 68 = #bigrams created
INFO: ngram_model_arpa.c(562): 3 = #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): 34 = #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): 36 = #unigrams created
INFO: ngram_model_dmp.c(649): 68 = #bigrams created
INFO: ngram_model_dmp.c(650): 3 = #prob2 entries
INFO: ngram_model_dmp.c(657): 3 = #bo_wt2 entries
INFO: ngram_model_dmp.c(661): 34 = #trigrams created
INFO: ngram_model_dmp.c(662): 2 = #prob3 entries
2015-11-04 09:21:07.988 OpenEarsTest[3506:336821] Done creating language model with CMUCLMTK in 0.106777 seconds.
INFO: cmd_ln.c(702): Parsing command line:
sphinx_lm_convert \
-i /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.arpa \
-o /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.DMP

Current configuration:
[NAME] [DEFLT] [VALUE]
-case
-debug 0
-help no no
-i /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.arpa
-ifmt
-logbase 1.0001 1.000100e+00
-mmap no no
-o /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.DMP
-ofmt

INFO: ngram_model_arpa.c(504): ngrams 1=36, 2=68, 3=34
INFO: ngram_model_arpa.c(137): Reading unigrams
INFO: ngram_model_arpa.c(543): 36 = #unigrams created
INFO: ngram_model_arpa.c(197): Reading bigrams
INFO: ngram_model_arpa.c(561): 68 = #bigrams created
INFO: ngram_model_arpa.c(562): 3 = #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): 34 = #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): 36 = #unigrams created
INFO: ngram_model_dmp.c(649): 68 = #bigrams created
INFO: ngram_model_dmp.c(650): 3 = #prob2 entries
INFO: ngram_model_dmp.c(657): 3 = #bo_wt2 entries
INFO: ngram_model_dmp.c(661): 34 = #trigrams created
INFO: ngram_model_dmp.c(662): 2 = #prob3 entries
2015-11-04 09:21:08.000 OpenEarsTest[3506:336821] I’m done running dynamic language model generation and it took 0.356924 seconds
2015-11-04 09:21:08.012 OpenEarsTest[3506:336821] User gave mic permission for this app.
2015-11-04 09:21:08.055 OpenEarsTest[3506:336821] Attempting to start listening session from startRealtimeListeningWithLanguageModelAtPath:
2015-11-04 09:21:08.059 OpenEarsTest[3506:336821] User gave mic permission for this app.
2015-11-04 09:21:08.060 OpenEarsTest[3506:336821] Valid setSecondsOfSilence value of 1.700000 will be used.
2015-11-04 09:21:08.062 OpenEarsTest[3506:336821] Successfully started listening session from startRealtimeListeningWithLanguageModelAtPath:
2015-11-04 09:21:08.064 OpenEarsTest[3506:336888] Starting listening.
2015-11-04 09:21:08.066 OpenEarsTest[3506:336888] about to set up audio session
2015-11-04 09:21:08.068 OpenEarsTest[3506:336888] Creating audio session with default settings.
2015-11-04 09:21:08.178 OpenEarsTest[3506:336907] Audio route has changed for the following reason:
2015-11-04 09:21:08.547 OpenEarsTest[3506:336907] There was a category change. The new category is AVAudioSessionCategoryPlayAndRecord
2015-11-04 09:21:08.564 OpenEarsTest[3506:336907] 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: 0x16593b00,
inputs = (null);
outputs = (
“<AVAudioSessionPortDescription: 0x165a7f40, type = Speaker; name = Altavoz; UID = Built-In Speaker; selectedDataSource = (null)>”
)>.
2015-11-04 09:21:08.575 OpenEarsTest[3506:336888] done starting audio unit
INFO: cmd_ln.c(702): Parsing command line:
\
-lm /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.DMP \
-vad_prespeech 10 \
-vad_postspeech 170 \
-vad_threshold 4.300000 \
-remove_noise yes \
-remove_silence yes \
-bestpath no \
-lw 6.500000 \
-dict /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.dic \
-hmm /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.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 no
-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/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.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/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle
-input_endian little little
-jsgf
-keyphrase
-kws
-kws_plp 1e-1 1.000000e-01
-kws_threshold 1 1.000000e+00
-latsize 5000 5000
-lda
-ldadim 0 0
-lifter 0 0
-lm /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.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 30000 30000
-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-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
-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
-uw 1.0 1.000000e+00
-vad_postspeech 50 170
-vad_prespeech 10 10
-vad_threshold 2.0 4.300000e+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:
\
-feat s3_1x39

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 8.0
-dither no no
-doublebw no no
-feat 1s_c_d_dd s3_1x39
-frate 100 100
-input_endian little little
-lda
-ldadim 0 0
-lifter 0 0
-logspec no no
-lowerf 133.33334 1.333333e+02
-ncep 13 13
-nfft 512 512
-nfilt 40 40
-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
-transform legacy legacy
-unit_area yes yes
-upperf 6855.4976 6.855498e+03
-vad_postspeech 50 170
-vad_prespeech 10 10
-vad_threshold 2.0 4.300000e+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/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/feat.params
INFO: feat.c(715): Initializing feature stream to type: ‘s3_1x39′, ceplen=13, CMN=’current’, VARNORM=’no’, AGC=’none’
INFO: cmn.c(143): mean[0]= 12.00, mean[1..12]= 0.0
INFO: mdef.c(518): Reading model definition: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/mdef
INFO: bin_mdef.c(181): Allocating 27954 * 8 bytes (218 KiB) for CD tree
INFO: tmat.c(206): Reading HMM transition probability matrices: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/transition_matrices
INFO: acmod.c(124): Attempting to use PTM computation module
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/means
INFO: ms_gauden.c(292): 2630 codebook, 1 feature, size:
INFO: ms_gauden.c(294): 16×39
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/variances
INFO: ms_gauden.c(292): 2630 codebook, 1 feature, size:
INFO: ms_gauden.c(294): 16×39
INFO: ms_gauden.c(354): 16 variance values floored
INFO: ptm_mgau.c(801): Number of codebooks exceeds 256: 2630
INFO: acmod.c(126): Attempting to use semi-continuous computation module
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/means
INFO: ms_gauden.c(292): 2630 codebook, 1 feature, size:
INFO: ms_gauden.c(294): 16×39
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/variances
INFO: ms_gauden.c(292): 2630 codebook, 1 feature, size:
INFO: ms_gauden.c(294): 16×39
INFO: ms_gauden.c(354): 16 variance values floored
INFO: acmod.c(128): Falling back to general multi-stream GMM computation
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/means
INFO: ms_gauden.c(292): 2630 codebook, 1 feature, size:
INFO: ms_gauden.c(294): 16×39
INFO: ms_gauden.c(198): Reading mixture gaussian parameter: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.bundle/variances
INFO: ms_gauden.c(292): 2630 codebook, 1 feature, size:
INFO: ms_gauden.c(294): 16×39
INFO: ms_gauden.c(354): 16 variance values floored
INFO: ms_senone.c(149): Reading senone mixture weights: /private/var/mobile/Containers/Bundle/Application/07477015-1B5B-413E-8FB2-1B7AF2039661/OpenEarsTest.app/AcousticModelSpanish.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 2630 senones: 1 features x 16 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(115): State beam -225 Phone exit beam -225 Insertion penalty 0
INFO: dict.c(320): Allocating 4130 * 20 bytes (80 KiB) for word entries
INFO: dict.c(333): Reading main dictionary: /var/mobile/Containers/Data/Application/5C951750-9914-4547-B09D-660F7BBE180D/Library/Caches/NameIWantForMyLanguageModelFiles.dic
INFO: dict.c(213): Allocated 0 KiB for strings, 0 KiB for phones
INFO: dict.c(336): 34 words read
INFO: dict2pid.c(396): Building PID tables for dictionary
INFO: dict2pid.c(406): Allocating 26^3 * 2 bytes (34 KiB) for word-initial triphones
INFO: dict2pid.c(132): Allocated 8216 bytes (8 KiB) for word-final triphones
INFO: dict2pid.c(196): Allocated 8216 bytes (8 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=36, 2=68, 3=34
INFO: ngram_model_dmp.c(266): 36 = LM.unigrams(+trailer) read
INFO: ngram_model_dmp.c(312): 68 = LM.bigrams(+trailer) read
INFO: ngram_model_dmp.c(338): 34 = LM.trigrams read
INFO: ngram_model_dmp.c(363): 3 = 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): 36 = ascii word strings read
INFO: ngram_search_fwdtree.c(99): 8 unique initial diphones
INFO: ngram_search_fwdtree.c(148): 0 root, 0 non-root channels, 29 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, 29 single-phone words
INFO: ngram_search_fwdtree.c(326): after: max nonroot chan increased to 164
INFO: ngram_search_fwdtree.c(339): after: 8 root, 36 non-root channels, 28 single-phone words
INFO: ngram_search_fwdflat.c(157): fwdflat: min_ef_width = 4, max_sf_win = 25
2015-11-04 09:21:12.627 OpenEarsTest[3506:336888] Listening.
2015-11-04 09:21:12.631 OpenEarsTest[3506:336888] Project has these words or phrases in its dictionary:
___REJ_Y
___REJ_X
___REJ_V
___REJ_U
___REJ_T
___REJ_S
___REJ_RR
___REJ_R
___REJ_P
___REJ_O
___REJ_N
___REJ_M
___REJ_LL
___REJ_L
___REJ_K
___REJ_J
___REJ_I
___REJ_GN
___REJ_G
___REJ_F
___REJ_E
___REJ_D
___REJ_CH
___REJ_B
___REJ_A
CABEZA
CAMBIAR
CIUDADANO
DERECHA
HOLA
IZQUIERDA
…and 4 more.
2015-11-04 09:21:12.632 OpenEarsTest[3506:336888] Recognition loop has started
2015-11-04 09:21:12.637 OpenEarsTest[3506:336821] Pocketsphinx is now listening.
2015-11-04 09:21:14.284 OpenEarsTest[3506:336888] Speech detected…
2015-11-04 09:21:14.285 OpenEarsTest[3506:336821] Pocketsphinx has detected speech.
2015-11-04 09:21:14.287 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-843) and an utterance ID of 0.
2015-11-04 09:21:14.288 OpenEarsTest[3506:336886] 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.
2015-11-04 09:21:14.471 OpenEarsTest[3506:336888] Pocketsphinx heard “HOLA” with a score of (-1487) and an utterance ID of 1.
2015-11-04 09:21:14.472 OpenEarsTest[3506:336821] rapidEarsDidReceiveLiveSpeechHypothesis: The received hypothesis is HOLA with a score of -1487
2015-11-04 09:21:14.716 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-2476) and an utterance ID of 2.
2015-11-04 09:21:14.717 OpenEarsTest[3506:336886] 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.
2015-11-04 09:21:14.926 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-4259) and an utterance ID of 3.
2015-11-04 09:21:15.130 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-5109) and an utterance ID of 4.
2015-11-04 09:21:15.326 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-5523) and an utterance ID of 5.
2015-11-04 09:21:15.632 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-5767) and an utterance ID of 6.
2015-11-04 09:21:15.901 OpenEarsTest[3506:336886] Pocketsphinx heard ” ” with a score of (-6465) and an utterance ID of 7.
2015-11-04 09:21:16.166 OpenEarsTest[3506:336886] Pocketsphinx heard “HOLA” with a score of (-8759) and an utterance ID of 8.
2015-11-04 09:21:16.167 OpenEarsTest[3506:336821] rapidEarsDidReceiveLiveSpeechHypothesis: The received hypothesis is HOLA with a score of -8759
2015-11-04 09:21:16.458 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA” with a score of (-10135) and an utterance ID of 9.
2015-11-04 09:21:16.459 OpenEarsTest[3506:336821] rapidEarsDidReceiveLiveSpeechHypothesis: The received hypothesis is URNA HOLA with a score of -10135
2015-11-04 09:21:16.754 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA” with a score of (-10189) and an utterance ID of 10.
2015-11-04 09:21:16.986 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA” with a score of (-11234) and an utterance ID of 11.
2015-11-04 09:21:17.191 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA” with a score of (-12147) and an utterance ID of 12.
2015-11-04 09:21:17.477 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA” with a score of (-14526) and an utterance ID of 13.
2015-11-04 09:21:17.752 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-15029) and an utterance ID of 14.
2015-11-04 09:21:17.753 OpenEarsTest[3506:336821] rapidEarsDidReceiveLiveSpeechHypothesis: The received hypothesis is URNA HOLA DERECHA with a score of -15029
2015-11-04 09:21:18.047 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-16053) and an utterance ID of 15.
2015-11-04 09:21:18.319 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-16390) and an utterance ID of 16.
INFO: ngram_search.c(462): Resized backpointer table to 10000 entries
2015-11-04 09:21:18.614 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-16724) and an utterance ID of 17.
2015-11-04 09:21:18.898 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-17003) and an utterance ID of 18.
2015-11-04 09:21:19.192 OpenEarsTest[3506:336886] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-17244) and an utterance ID of 19.
2015-11-04 09:21:19.256 OpenEarsTest[3506:336888] End of speech detected…
2015-11-04 09:21:19.257 OpenEarsTest[3506:336821] Pocketsphinx has detected a period of silence, concluding an utterance.
INFO: cmn_prior.c(131): cmn_prior_update: from < 8.00 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 < 8.89 0.07 -0.36 0.01 -0.16 -0.01 -0.26 -0.21 -0.05 -0.18 -0.09 -0.07 -0.07 >
INFO: ngram_search_fwdtree.c(1553): 6748 words recognized (14/fr)
INFO: ngram_search_fwdtree.c(1555): 119026 senones evaluated (245/fr)
INFO: ngram_search_fwdtree.c(1559): 28716 channels searched (59/fr), 3815 1st, 18042 last
INFO: ngram_search_fwdtree.c(1562): 12032 words for which last channels evaluated (24/fr)
INFO: ngram_search_fwdtree.c(1564): 297 candidate words for entering last phone (0/fr)
INFO: ngram_search_fwdtree.c(1567): fwdtree 4.81 CPU 0.990 xRT
INFO: ngram_search_fwdtree.c(1570): fwdtree 6.56 wall 1.350 xRT
INFO: ngram_search_fwdflat.c(302): Utterance vocabulary contains 31 words
INFO: ngram_search_fwdflat.c(945): 3539 words recognized (7/fr)
INFO: ngram_search_fwdflat.c(947): 77412 senones evaluated (159/fr)
INFO: ngram_search_fwdflat.c(949): 22670 channels searched (46/fr)
INFO: ngram_search_fwdflat.c(951): 7729 words searched (15/fr)
INFO: ngram_search_fwdflat.c(954): 6070 word transitions (12/fr)
INFO: ngram_search_fwdflat.c(957): fwdflat 1.97 CPU 0.406 xRT
INFO: ngram_search_fwdflat.c(960): fwdflat 2.07 wall 0.425 xRT
2015-11-04 09:21:21.358 OpenEarsTest[3506:336888] Pocketsphinx heard “URNA HOLA DERECHA” with a score of (-17696) and an utterance ID of 20.
2015-11-04 09:21:21.360 OpenEarsTest[3506:336821] rapidEarsDidReceiveFinishedSpeechHypothesis: The received hypothesis is URNA HOLA DERECHA with a score of -17696

[collapse]