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  1. MODULE: 000 Computing feature from audio files
  2. Extracting features from segments starting at (part 1 of 1)
  3. Extracting features from segments starting at (part 1 of 1)
  4. Feature extraction is done
  5. MODULE: 00 verify training files
  6. Phase 1: Checking to see if the dict and filler dict agrees with the phonelist file.
  7. Found 133 words using 34 phones
  8. Phase 2: Checking to make sure there are not duplicate entries in the dictionary
  9. Phase 3: Check general format for the fileids file; utterance length (must be positive); files exist
  10. Phase 4: Checking number of lines in the transcript file should match lines in fileids file
  11. Phase 5: Determine amount of training data, see if n_tied_states seems reasonable.
  12. Estimated Total Hours Training: 0.704672222222222
  13. This is a small amount of data, no comment at this time
  14. Phase 6: Checking that all the words in the transcript are in the dictionary
  15. Words in dictionary: 130
  16. Words in filler dictionary: 3
  17. Phase 7: Checking that all the phones in the transcript are in the phonelist, and all phones in the phonelist appear at least once
  18. MODULE: 0000 train grapheme-to-phoneme model
  19. Skipped (set $CFG_G2P_MODEL = 'yes' to enable)
  20. MODULE: 01 Train LDA transformation
  21. Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
  22. MODULE: 02 Train MLLT transformation
  23. Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
  24. MODULE: 05 Vector Quantization
  25. Skipped for continuous models
  26. MODULE: 10 Training Context Independent models for forced alignment and VTLN
  27. Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
  28. Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
  29. MODULE: 11 Force-aligning transcripts
  30. Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
  31. MODULE: 12 Force-aligning data for VTLN
  32. Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
  33. MODULE: 20 Training Context Independent models
  34. Phase 1: Cleaning up directories:
  35. accumulator...logs...qmanager...models...
  36. Phase 2: Flat initialize
  37. Phase 3: Forward-Backward
  38. Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
  39. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  40. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  41. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  42. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  43. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  44. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  45. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  46. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
  47. Waiting for /cygdrive/c/Downloads/src/cmusphinx-code/an4/model_parameters/an4.ci_cont_flatinitial/mixture_weights
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