Speech:Exps 0282 007

Description
Author: Meagan Wolf

Date: 2-16-2016

Purpose: This is just a test. I'm currently running my first test so that I can become familiar with running them and work up to running more than one.

Details:

Results: INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0043.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0046.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0038.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0040.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0048.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0041.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0044.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0045.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0052.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0048.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0054.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0055.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0056.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0057.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0050.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0059.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0060.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0062.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0065.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0054.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0067.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0056.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057B-ms98-a-0058.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0069.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0074.sph INFO: wave2feat.c(139): /mnt/main/Exp/0282/004/wav/sw2057A-ms98-a-0076.sph INFO: wave2feat.c(139): 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Complete! Run "nohup scripts_pl/RunAll.pl . &" to begin training. [mgm28@caesar 004]$ nohup scripts_pl/RunAll.pl. & [1] 23451 [mgm28@caesar 004]$ MODULE: 00 verify training files O.S. is case sensitive ("A" != "a"). Phones will be treated as case sensitive. Phase 1: DICT - Checking to see if the dict and filler dict agrees with the phonelist file. Found 3315 words using 43 phones Phase 2: DICT - Checking to make sure there are not duplicate entries in the dictionary Phase 3: CTL - Check general format; utterance length (must be positive); files exist Phase 4: CTL - Checking number of lines in the transcript should match lines in control file Phase 5: CTL - Determine amount of training data, see if n_tied_states seems reasonable. Total Hours Training: 3.86011581196587 This is a small amount of data, no comment at this time Phase 6: TRANSCRIPT - Checking that all the words in the transcript are in the dictionary Words in dictionary: 3309 Words in filler dictionary: 6 Phase 7: TRANSCRIPT - Checking that all the phones in the transcript are in the phonelist, and all phones in the phonelist appear at least once WARNING: This phone (+laugh+) occurs in the phonelist (/mnt/main/Exp/0282/004/etc/004.phone), but not in any word in the transcription (/mnt/main/Exp/0282/004/etc/004_train.trans) WARNING: This phone (+noise+) occurs in the phonelist (/mnt/main/Exp/0282/004/etc/004.phone), but not in any word in the transcription (/mnt/main/Exp/0282/004/etc/004_train.trans) WARNING: This phone (+vocalized+) occurs in the phonelist (/mnt/main/Exp/0282/004/etc/004.phone), but not in any word in the transcription (/mnt/main/Exp/0282/004/etc/004_train.trans) MODULE: 01 Vector Quantization Skipped for continuous models MODULE: 02 Training Context Independent models for forced alignment and VTLN Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg MODULE: 03 Force-aligning transcripts Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg MODULE: 04 Force-aligning data for VTLN Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg MODULE: 05 Train LDA transformation Skipped (set $CFG_LDA_MLLT = 'yes' to enable) MODULE: 06 Train MLLT transformation Skipped (set $CFG_LDA_MLLT = 'yes' to enable) MODULE: 20 Training Context Independent models Phase 1: Cleaning up directories: accumulator...logs...qmanager...models... Phase 2: Flat initialize Phase 3: Forward-Backward Baum-Welch iteration 1 Average log-likelihood -2.28171288898869 Baum-Welch iteration 2 Average log-likelihood -1.74574196111625 Baum-Welch iteration 3 Average log-likelihood 0.140022110709011 Baum-Welch iteration 4 Average log-likelihood 1.33239984677985 Baum-Welch iteration 5 Average log-likelihood 1.77003259370234 Baum-Welch iteration 6 Average log-likelihood 1.88352618768724 Training completed after 7 iterations MODULE: 30 Training Context Dependent models Phase 1: Cleaning up directories: accumulator...logs...qmanager... Phase 2: Initialization WARNING: This step had 0 ERROR messages and 1 WARNING messages. Please check the log file for details. Phase 3: Forward-Backward Baum-Welch iteration 1 Average log-likelihood 1.982370144189 Baum-Welch iteration 2 Average log-likelihood 4.97211136122978 Baum-Welch iteration 3 Average log-likelihood 6.25403691881452 Training completed after 4 iterations MODULE: 40 Build Trees Phase 1: Cleaning up old log files... Phase 2: Make Questions Phase 3: Tree building Processing each phone with each state Skipping +laugh+ Skipping +noise+ Skipping +vocalized+ Skipping SIL MODULE: 45 Prune Trees Phase 1: Tree Pruning Phase 2: State Tying MODULE: 50 Training Context dependent models Phase 1: Cleaning up directories: accumulator...logs...qmanager... Phase 2: Copy CI to CD initialize Phase 3: Forward-Backward Baum-Welch gaussians 1 iteration 1 Average log-likelihood 1.982370144189 Baum-Welch gaussians 1 iteration 2 Average log-likelihood 2.7916768584118 Baum-Welch gaussians 1 iteration 3 Average log-likelihood 2.96645133524384 Baum-Welch gaussians 1 iteration 4 Average log-likelihood 3.03925710150303 Baum-Welch gaussians 2 iteration 1 Average log-likelihood 2.62464028384676 Baum-Welch gaussians 2 iteration 2 Average log-likelihood 3.23466115569159 Baum-Welch gaussians 2 iteration 3 Average log-likelihood 3.64033330354035 Baum-Welch gaussians 2 iteration 4 Average log-likelihood 4.00801684335161 Baum-Welch gaussians 2 iteration 5 Average log-likelihood 4.19965139117389 Baum-Welch gaussians 2 iteration 6 Average log-likelihood 4.30664299769633 Baum-Welch gaussians 4 iteration 1 Average log-likelihood 3.92440163012624 Baum-Welch gaussians 4 iteration 2 Average log-likelihood 4.5088951865936 Baum-Welch gaussians 4 iteration 3 Average log-likelihood 4.80055739506369 Baum-Welch gaussians 4 iteration 4 Average log-likelihood 5.11898624032562 Baum-Welch gaussians 4 iteration 5 Average log-likelihood 5.30840623492749 Baum-Welch gaussians 8 iteration 1 Average log-likelihood 4.97019723142417 Baum-Welch gaussians 8 iteration 2 Average log-likelihood 5.5810825056391 Baum-Welch gaussians 8 iteration 3 Average log-likelihood 5.86486258282089 Baum-Welch gaussians 8 iteration 4 Average log-likelihood 6.1567081940807 Training for 8 Gaussian(s) completed after 5 iterations MODULE: 90 deleted interpolation Skipped for continuous models MODULE: 99 Convert to Sphinx2 format models Can not create models used by Sphinx-II. If you intend to create models to use with Sphinx-II models, please rerun with: $ST::CFG_HMM_TYPE = '.semi.' or $ST::CFG_HMM_TYPE = '.cont' and $ST::CFG_FEATURE = '1s_12c_12d_3p_12dd' and $ST::CFG_STATESPERHMM = '5'

[1]   Done                          scripts_pl/RunAll.pl.