# this is the telematics grammar test, grammar is fixed # default models cmdline.modelfiles = models/generic11_f.swimdl models/generic11_m.swimdl cmdline.arbfile = models/generic.swiarb cmdline.tcp = CMDLINE.TCPFILE cmdline.lda = models/generic11.lda # cmdline.modelfiles11 = models/generic11_f.swimdl models/generic11_m.swimdl cmdline.modelfiles8 = models/generic8_f.swimdl models/generic8_m.swimdl cmdline.lda11 = models/generic11.lda cmdline.lda8 = models/generic8.lda # cmdline.vocabulary = dictionary/cmu6plus.ok.zip #cmdline.vocabulary = dictionary/large.ok # cmdline.datapath = \\silicon2\D\\visteon_en_us\\train\\wave cmdline.results = recog4.res; cmdline.use_image = 2; cmdline.detail_res = YES; cmdline.bgsniff = 25; # beginning of speech detection stuff cmdline.bgsniff_min = 4; # 1 means yes do start-pointing cmdline.gatedmode = 1; # level-based end of speech detection stuff cmdline.silence_duration_in_frames = 100; cmdline.end_of_utterance_hold_off_in_frames = 30; # logging cmdline.DataCaptureDirectory = logs # OSI Log levels (bit set indicates level is ON) # 0 no logging # BIT 0 -> BASIC logging # BIT 1 -> AUDIO waveform logging # BIT 2 -> ADD WORD logging # e.g. value is 3 = BASIC+AUDIO logging, no ADDWORD SREC.Recognizer.osi_log_level = 0 SREC.Recognizer.utterance_timeout = 400 CREC.ParVersion = 1.0 ; CREC.useCREClogger = 1; CREC.Acoustic.dimen = 36 ; CREC.Acoustic.skip = 5 ; CREC.Acoustic.stay = 5 ; CREC.Acoustic.durscale = 5 ; CREC.Acoustic.minvar = 2860 ; CREC.Acoustic.maxvar = 2860 ; CREC.Acoustic.frame_period = 20 ; CREC.Acoustic.load_models = non_generic; CREC.Frontend.mel_dim = 12 ; CREC.Frontend.samplerate = 11025 ; CREC.Frontend.premel = 0.9 ; CREC.Frontend.lowcut = 125 ; CREC.Frontend.highcut = 5500 ; CREC.Frontend.window_factor = 2 ; CREC.Frontend.offset = 0 ; CREC.Frontend.ddmel = YES ; CREC.Frontend.peakdecayup = 0.3 ; CREC.Frontend.peakdecaydown = 0.7 ; CREC.Frontend.do_skip_even_frames = YES ; CREC.Frontend.melA = 14 45 60 70 95 115 115 135 135 155 160 180 ; CREC.Frontend.melB = 42 110 105 110 140 140 150 120 150 130 140 130 ; CREC.Frontend.dmelA = 50 150 290 320 400 500 500 600 600 700 720 750 ; CREC.Frontend.dmelB = 127 127 127 127 127 127 127 127 127 127 127 127 ; CREC.Frontend.ddmelA = 4 12 22 27 32 35 35 45 45 55 57 62 ; CREC.Frontend.ddmelB = 127 127 127 127 127 127 127 127 127 127 127 127 ; # BOS detection CREC.Frontend.speech_detect = 14 ; CREC.Frontend.ambient_within = 7 ; CREC.Frontend.speech_above = 18 ; CREC.Frontend.start_windback = 50 ; CREC.Frontend.utterance_allowance = 40 ; CREC.Frontend.swicms.forget_factor = 400 ; CREC.Frontend.swicms.sbindex = 100 ; CREC.Frontend.swicms.inutt.forget_factor2 = 40 ; CREC.Frontend.swicms.inutt.disable_after = 200; CREC.Frontend.swicms.inutt.enable_after = 10; CREC.Pattern.dimen = 28 ; CREC.Pattern.mix_score_scale = 0.46 ; CREC.Pattern.imelda_scale = 14 ; # grammar based EOS detection params CREC.Recognizer.max_frames = 1000; CREC.Recognizer.eou_threshold = 120 ; CREC.Recognizer.terminal_timeout = 30 ; CREC.Recognizer.optional_terminal_timeout = 45 ; CREC.Recognizer.non_terminal_timeout = 90 ; # for the recognition search CREC.Recognizer.max_fsm_arcs = 25000; CREC.Recognizer.max_fsm_nodes = 14500; CREC.Recognizer.max_hmm_tokens = 400 CREC.Recognizer.max_word_tokens = 2000; CREC.Recognizer.max_altword_tokens = 400; CREC.Recognizer.max_fsmnode_tokens = 400 CREC.Recognizer.viterbi_prune_thresh = 400 CREC.Recognizer.num_wordends_per_frame = 10 CREC.Recognizer.max_model_states = 3600 ## C:/users/dahan/esr/baseline/bin/srectestD.exe -parfile ./expr_large.par -grammar recog_nm/namesnnumsSC_dyn,addWords=1000 SREC.Confidence.sigmoid_param.gdiff.one_nbest = 0.003 -3.15 0.05 SREC.Confidence.sigmoid_param.gdiff.many_nbest = 0.001 -2.21 0.2105 SREC.Confidence.sigmoid_param.sd.one_nbest = 0.0 0.0 0.0 SREC.Confidence.sigmoid_param.sd.many_nbest = -0.0161 0.9 0.0526 SREC.Confidence.sigmoid_param.sd13.one_nbest = 0.0 0.0 0.0 SREC.Confidence.sigmoid_param.sd13.many_nbest = -0.0141 1.5 0.0526 SREC.Confidence.sigmoid_param.spf.one_nbest = -0.002 0.4 0.05 SREC.Confidence.sigmoid_param.spf.many_nbest = 0.02 -8.63 0.3157 SREC.Confidence.sigmoid_param.abs.one_nbest = 0.0001 -4.5 0.05 SREC.Confidence.sigmoid_param.abs.many_nbest = 0.000031 -1.67 0.0526 SREC.Confidence.sigmoid_param.gdiffpf.one_nbest = 0.33 -5.5 0.85 SREC.Confidence.sigmoid_param.gdiffpf.many_nbest = 0.24 -3.59 0.3157 # for G2P module G2P.Available = YES G2P.Data = g2p/en-US-ttp.data