117 lines
4.5 KiB
Plaintext
117 lines
4.5 KiB
Plaintext
# this is the telematics grammar test, grammar is fixed
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# default models
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cmdline.modelfiles = models/generic_f.swimdl models/generic_m.swimdl
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cmdline.arbfile = models/generic.swiarb
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cmdline.tcp = CMDLINE.TCPFILE
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cmdline.lda = models/generic11.lda
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#
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cmdline.modelfiles11 = models/generic11_f.swimdl models/generic11_m.swimdl
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cmdline.modelfiles8 = models/generic8_f.swimdl models/generic8_m.swimdl
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cmdline.lda11 = models/generic11.lda
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cmdline.lda8 = models/generic8.lda
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#
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cmdline.vocabulary = dictionary/large.ok
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#
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cmdline.datapath = \\silicon2\D\\visteon_en_us\\train\\wave
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cmdline.results = recog4.res;
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cmdline.use_image = 2;
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cmdline.detail_res = YES;
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cmdline.bgsniff = 25;
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# beginning of speech detection stuff
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cmdline.bgsniff_min = 4;
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cmdline.silence_duration_in_frames = 100;
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cmdline.end_of_utterance_hold_off_in_frames = 30;
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# 1 means yes do start-pointing
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cmdline.gatedmode = 1;
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cmdline.DataCaptureDirectory = logs
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# OSI Log levels (bit set indicates level is ON)
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# 0 no logging
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# BIT 0 -> BASIC logging
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# BIT 1 -> AUDIO waveform logging
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# BIT 2 -> ADD WORD logging
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# e.g. value is 3 = BASIC+AUDIO logging, no ADDWORD
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SREC.Recognizer.osi_log_level = 0
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SREC.Recognizer.utterance_timeout = 400
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CREC.ParVersion = 1.0 ;
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CREC.useCREClogger = 1;
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CREC.Acoustic.dimen = 36 ;
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CREC.Acoustic.skip = 5 ;
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CREC.Acoustic.stay = 5 ;
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CREC.Acoustic.durscale = 5 ;
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CREC.Acoustic.minvar = 2860 ;
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CREC.Acoustic.maxvar = 2860 ;
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CREC.Acoustic.frame_period = 20 ;
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CREC.Acoustic.load_models = non_generic;
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CREC.Frontend.mel_dim = 12 ;
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CREC.Frontend.samplerate = 11025 ;
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CREC.Frontend.premel = 0.9 ;
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CREC.Frontend.lowcut = 125 ;
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CREC.Frontend.highcut = 5500 ;
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CREC.Frontend.window_factor = 2 ;
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CREC.Frontend.offset = 0 ;
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CREC.Frontend.ddmel = YES ;
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CREC.Frontend.peakdecayup = 0.3 ;
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CREC.Frontend.peakdecaydown = 0.7 ;
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CREC.Frontend.do_skip_even_frames = YES ;
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CREC.Frontend.melA = 14 45 60 70 95 115 115 135 135 155 160 180 ;
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CREC.Frontend.melB = 42 110 105 110 140 140 150 120 150 130 140 130 ;
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CREC.Frontend.dmelA = 50 150 290 320 400 500 500 600 600 700 720 750 ;
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CREC.Frontend.dmelB = 127 127 127 127 127 127 127 127 127 127 127 127 ;
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CREC.Frontend.ddmelA = 4 12 22 27 32 35 35 45 45 55 57 62 ;
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CREC.Frontend.ddmelB = 127 127 127 127 127 127 127 127 127 127 127 127 ;
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CREC.Frontend.speech_detect = 14 ;
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CREC.Frontend.ambient_within = 7 ;
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CREC.Frontend.speech_above = 18 ;
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CREC.Frontend.start_windback = 50 ;
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CREC.Frontend.utterance_allowance = 40 ;
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CREC.Frontend.swicms.forget_factor = 400 ;
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CREC.Frontend.swicms.sbindex = 100 ;
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CREC.Pattern.dimen = 28 ;
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CREC.Pattern.mix_score_scale = 0.46 ;
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CREC.Pattern.imelda_scale = 14 ;
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CREC.Recognizer.max_frames = 1000;
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CREC.Recognizer.eou_threshold = 120 ;
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CREC.Recognizer.terminal_timeout = 30 ;
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CREC.Recognizer.optional_terminal_timeout = 45 ;
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CREC.Recognizer.non_terminal_timeout = 90 ;
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# no endpointing!!
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CREC.silenceDurationInFrames = 200;
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CREC.Recognizer.max_fsm_arcs = 25000;
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CREC.Recognizer.max_fsm_nodes = 14500;
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CREC.Recognizer.max_hmm_tokens = 400
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CREC.Recognizer.max_word_tokens = 2000;
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CREC.Recognizer.max_altword_tokens = 400;
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CREC.Recognizer.max_fsmnode_tokens = 400
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CREC.Recognizer.viterbi_prune_thresh = 400
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CREC.Recognizer.num_wordends_per_frame = 10
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CREC.Recognizer.max_model_states = 3600
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## C:/users/dahan/esr/baseline/bin/srectestD.exe -parfile ./expr_large.par -grammar recog_nm/namesnnumsSC_dyn,addWords=1000
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SREC.Confidence.sigmoid_param.gdiff.one_nbest = 0.003 -3.15 0.05
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SREC.Confidence.sigmoid_param.gdiff.many_nbest = 0.001 -2.21 0.2105
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SREC.Confidence.sigmoid_param.sd.one_nbest = 0.0 0.0 0.0
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SREC.Confidence.sigmoid_param.sd.many_nbest = -0.0161 0.9 0.0526
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SREC.Confidence.sigmoid_param.sd13.one_nbest = 0.0 0.0 0.0
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SREC.Confidence.sigmoid_param.sd13.many_nbest = -0.0141 1.5 0.0526
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SREC.Confidence.sigmoid_param.spf.one_nbest = -0.002 0.4 0.05
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SREC.Confidence.sigmoid_param.spf.many_nbest = 0.02 -8.63 0.3157
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SREC.Confidence.sigmoid_param.abs.one_nbest = 0.0001 -4.5 0.05
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SREC.Confidence.sigmoid_param.abs.many_nbest = 0.000031 -1.67 0.0526
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SREC.Confidence.sigmoid_param.gdiffpf.one_nbest = 0.33 -5.5 0.85
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SREC.Confidence.sigmoid_param.gdiffpf.many_nbest = 0.24 -3.59 0.3157
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# for G2P module
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G2P.Available = YES
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G2P.Data = g2p/en-US-ttp.data
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