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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. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  40. Normalization for iteration: 1
  41. Current Overall Likelihood Per Frame = -6.92247774773141
  42. Baum welch starting for 1 Gaussian(s), iteration: 2 (1 of 1)
  43. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  44. Normalization for iteration: 2
  45. Current Overall Likelihood Per Frame = -4.81766936558368
  46. Convergence Ratio = 2.10480838214773
  47. Baum welch starting for 1 Gaussian(s), iteration: 3 (1 of 1)
  48. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  49. Normalization for iteration: 3
  50. Current Overall Likelihood Per Frame = -1.9730501178641
  51. Convergence Ratio = 2.84461924771958
  52. Baum welch starting for 1 Gaussian(s), iteration: 4 (1 of 1)
  53. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  54. Normalization for iteration: 4
  55. Current Overall Likelihood Per Frame = -0.292634164032135
  56. Convergence Ratio = 1.68041595383197
  57. Baum welch starting for 1 Gaussian(s), iteration: 5 (1 of 1)
  58. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  59. Normalization for iteration: 5
  60. Current Overall Likelihood Per Frame = 0.127714343154027
  61. Convergence Ratio = 0.420348507186162
  62. Baum welch starting for 1 Gaussian(s), iteration: 6 (1 of 1)
  63. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  64. Normalization for iteration: 6
  65. Current Overall Likelihood Per Frame = 0.286659203254468
  66. Convergence Ratio = 0.158944860100441
  67. Baum welch starting for 1 Gaussian(s), iteration: 7 (1 of 1)
  68. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  69. Normalization for iteration: 7
  70. Current Overall Likelihood Per Frame = 0.342886803163015
  71. Training completed after 7 iterations
  72. MODULE: 30 Training Context Dependent models
  73. Phase 1: Cleaning up directories:
  74. accumulator...logs...qmanager...
  75. Phase 2: Initialization
  76. Phase 3: Forward-Backward
  77. Baum welch starting for iteration: 1 (1 of 1)
  78. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  79. Normalization for iteration: 1
  80. Current Overall Likelihood Per Frame = 0.3630326156369
  81. Baum welch starting for iteration: 2 (1 of 1)
  82. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  83. This step had 2 ERROR messages and 1 WARNING messages. Please check the log file for details.
  84. Normalization for iteration: 2
  85. WARNING: This step had 0 ERROR messages and 3 WARNING messages. Please check the log file for details.
  86. Current Overall Likelihood Per Frame = 3.3022403869293
  87. Convergence Ratio = 2.9392077712924
  88. Baum welch starting for iteration: 3 (1 of 1)
  89. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  90. This step had 2 ERROR messages and 1 WARNING messages. Please check the log file for details.
  91. Normalization for iteration: 3
  92. WARNING: This step had 0 ERROR messages and 3 WARNING messages. Please check the log file for details.
  93. Current Overall Likelihood Per Frame = 4.24871095892032
  94. Convergence Ratio = 0.946470571991022
  95. Baum welch starting for iteration: 4 (1 of 1)
  96. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  97. This step had 2 ERROR messages and 1 WARNING messages. Please check the log file for details.
  98. Normalization for iteration: 4
  99. WARNING: This step had 0 ERROR messages and 3 WARNING messages. Please check the log file for details.
  100. Current Overall Likelihood Per Frame = 4.3782581080388
  101. Convergence Ratio = 0.129547149118483
  102. Baum welch starting for iteration: 5 (1 of 1)
  103. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  104. This step had 2 ERROR messages and 1 WARNING messages. Please check the log file for details.
  105. Normalization for iteration: 5
  106. WARNING: This step had 0 ERROR messages and 3 WARNING messages. Please check the log file for details.
  107. Current Overall Likelihood Per Frame = 4.43666439169491
  108. Training completed after 5 iterations
  109. MODULE: 40 Build Trees
  110. Phase 1: Cleaning up old log files...
  111. Phase 2: Make Questions
  112. Phase 3: Tree building
  113. Processing each phone with each state
  114. AA 0
  115. AA 1
  116. AA 2
  117. AE 0
  118. AE 1
  119. AE 2
  120. AH 0
  121. AH 1
  122. AH 2
  123. AO 0
  124. AO 1
  125. AO 2
  126. AW 0
  127. AW 1
  128. AW 2
  129. AY 0
  130. AY 1
  131. AY 2
  132. B 0
  133. B 1
  134. B 2
  135. CH 0
  136. CH 1
  137. CH 2
  138. D 0
  139. D 1
  140. D 2
  141. EH 0
  142. EH 1
  143. EH 2
  144. ER 0
  145. ER 1
  146. ER 2
  147. EY 0
  148. EY 1
  149. EY 2
  150. F 0
  151. F 1
  152. F 2
  153. G 0
  154. G 1
  155. G 2
  156. HH 0
  157. HH 1
  158. HH 2
  159. IH 0
  160. IH 1
  161. IH 2
  162. IY 0
  163. IY 1
  164. IY 2
  165. JH 0
  166. JH 1
  167. JH 2
  168. K 0
  169. K 1
  170. K 2
  171. L 0
  172. L 1
  173. L 2
  174. M 0
  175. M 1
  176. M 2
  177. N 0
  178. N 1
  179. N 2
  180. OW 0
  181. OW 1
  182. OW 2
  183. P 0
  184. P 1
  185. P 2
  186. R 0
  187. R 1
  188. R 2
  189. S 0
  190. S 1
  191. S 2
  192. Skipping SIL
  193. T 0
  194. T 1
  195. T 2
  196. TH 0
  197. TH 1
  198. TH 2
  199. UW 0
  200. UW 1
  201. UW 2
  202. V 0
  203. V 1
  204. V 2
  205. W 0
  206. W 1
  207. W 2
  208. Y 0
  209. Y 1
  210. Y 2
  211. Z 0
  212. Z 1
  213. Z 2
  214. MODULE: 45 Prune Trees
  215. Phase 1: Tree Pruning
  216. Phase 2: State Tying
  217. MODULE: 50 Training Context dependent models
  218. Phase 1: Cleaning up directories:
  219. accumulator...logs...qmanager...
  220. Phase 2: Copy CI to CD initialize
  221. Phase 3: Forward-Backward
  222. Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
  223. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  224. Normalization for iteration: 1
  225. Current Overall Likelihood Per Frame = 0.3630326156369
  226. Baum welch starting for 1 Gaussian(s), iteration: 2 (1 of 1)
  227. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  228. Normalization for iteration: 2
  229. Current Overall Likelihood Per Frame = 1.29600247554024
  230. Convergence Ratio = 0.932969859903343
  231. Baum welch starting for 1 Gaussian(s), iteration: 3 (1 of 1)
  232. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  233. Normalization for iteration: 3
  234. Current Overall Likelihood Per Frame = 1.45734659928572
  235. Convergence Ratio = 0.16134412374548
  236. Baum welch starting for 1 Gaussian(s), iteration: 4 (1 of 1)
  237. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  238. Normalization for iteration: 4
  239. Current Overall Likelihood Per Frame = 1.51526123256676
  240. Split Gaussians, increase by 1
  241. Current Overall Likelihood Per Frame = 1.51526123256676
  242. Convergence Ratio = 0.0579146332810367
  243. Baum welch starting for 2 Gaussian(s), iteration: 1 (1 of 1)
  244. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  245. Normalization for iteration: 1
  246. Current Overall Likelihood Per Frame = 1.02019457430957
  247. Baum welch starting for 2 Gaussian(s), iteration: 2 (1 of 1)
  248. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  249. Normalization for iteration: 2
  250. Current Overall Likelihood Per Frame = 1.70219132614849
  251. Convergence Ratio = 0.681996751838915
  252. Baum welch starting for 2 Gaussian(s), iteration: 3 (1 of 1)
  253. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  254. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  255. Normalization for iteration: 3
  256. Current Overall Likelihood Per Frame = 2.25650596368489
  257. Convergence Ratio = 0.5543146375364
  258. Baum welch starting for 2 Gaussian(s), iteration: 4 (1 of 1)
  259. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  260. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  261. Normalization for iteration: 4
  262. Current Overall Likelihood Per Frame = 2.73848935775397
  263. Convergence Ratio = 0.481983394069085
  264. Baum welch starting for 2 Gaussian(s), iteration: 5 (1 of 1)
  265. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  266. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  267. Normalization for iteration: 5
  268. Current Overall Likelihood Per Frame = 2.97122862568747
  269. Convergence Ratio = 0.232739267933502
  270. Baum welch starting for 2 Gaussian(s), iteration: 6 (1 of 1)
  271. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  272. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  273. Normalization for iteration: 6
  274. Current Overall Likelihood Per Frame = 3.08047266283306
  275. Convergence Ratio = 0.109244037145587
  276. Baum welch starting for 2 Gaussian(s), iteration: 7 (1 of 1)
  277. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  278. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  279. Normalization for iteration: 7
  280. Current Overall Likelihood Per Frame = 3.15487009270917
  281. Split Gaussians, increase by 2
  282. Current Overall Likelihood Per Frame = 3.15487009270917
  283. Convergence Ratio = 0.0743974298761083
  284. Baum welch starting for 4 Gaussian(s), iteration: 1 (1 of 1)
  285. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  286. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  287. Normalization for iteration: 1
  288. Current Overall Likelihood Per Frame = 2.68742565308853
  289. Baum welch starting for 4 Gaussian(s), iteration: 2 (1 of 1)
  290. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  291. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  292. Normalization for iteration: 2
  293. Current Overall Likelihood Per Frame = 3.32600553334412
  294. Convergence Ratio = 0.638579880255591
  295. Baum welch starting for 4 Gaussian(s), iteration: 3 (1 of 1)
  296. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  297. This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
  298. Normalization for iteration: 3
  299. Current Overall Likelihood Per Frame = 3.62349263733705
  300. Convergence Ratio = 0.297487103992928
  301. Baum welch starting for 4 Gaussian(s), iteration: 4 (1 of 1)
  302. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  303. Normalization for iteration: 4
  304. Current Overall Likelihood Per Frame = 3.9370290363526
  305. Convergence Ratio = 0.313536399015549
  306. Baum welch starting for 4 Gaussian(s), iteration: 5 (1 of 1)
  307. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  308. Normalization for iteration: 5
  309. Current Overall Likelihood Per Frame = 4.12468365906923
  310. Convergence Ratio = 0.187654622716629
  311. Baum welch starting for 4 Gaussian(s), iteration: 6 (1 of 1)
  312. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  313. Normalization for iteration: 6
  314. Current Overall Likelihood Per Frame = 4.24052159790604
  315. Convergence Ratio = 0.115837938836809
  316. Baum welch starting for 4 Gaussian(s), iteration: 7 (1 of 1)
  317. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  318. Normalization for iteration: 7
  319. Current Overall Likelihood Per Frame = 4.31475626966044
  320. Split Gaussians, increase by 4
  321. Current Overall Likelihood Per Frame = 4.31475626966044
  322. Convergence Ratio = 0.0742346717544002
  323. Baum welch starting for 8 Gaussian(s), iteration: 1 (1 of 1)
  324. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  325. Normalization for iteration: 1
  326. Current Overall Likelihood Per Frame = 3.85127364180352
  327. Baum welch starting for 8 Gaussian(s), iteration: 2 (1 of 1)
  328. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  329. Normalization for iteration: 2
  330. Current Overall Likelihood Per Frame = 4.49221072050835
  331. Convergence Ratio = 0.640937078704833
  332. Baum welch starting for 8 Gaussian(s), iteration: 3 (1 of 1)
  333. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  334. Normalization for iteration: 3
  335. Current Overall Likelihood Per Frame = 4.76306162833784
  336. Convergence Ratio = 0.27085090782949
  337. Baum welch starting for 8 Gaussian(s), iteration: 4 (1 of 1)
  338. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  339. Normalization for iteration: 4
  340. Current Overall Likelihood Per Frame = 5.04207235830686
  341. Convergence Ratio = 0.279010729969016
  342. Baum welch starting for 8 Gaussian(s), iteration: 5 (1 of 1)
  343. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  344. Normalization for iteration: 5
  345. Current Overall Likelihood Per Frame = 5.21582926656207
  346. Convergence Ratio = 0.173756908255214
  347. Baum welch starting for 8 Gaussian(s), iteration: 6 (1 of 1)
  348. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  349. Normalization for iteration: 6
  350. Current Overall Likelihood Per Frame = 5.31921854920728
  351. Convergence Ratio = 0.103389282645206
  352. Baum welch starting for 8 Gaussian(s), iteration: 7 (1 of 1)
  353. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
  354. Normalization for iteration: 7
  355. Current Overall Likelihood Per Frame = 5.38847060493058
  356. Training for 8 Gaussian(s) completed after 7 iterations
  357. MODULE: 60 Lattice Generation
  358. Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
  359. MODULE: 61 Lattice Pruning
  360. Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
  361. MODULE: 62 Lattice Format Conversion
  362. Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
  363. MODULE: 65 MMIE Training
  364. Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
  365. MODULE: 90 deleted interpolation
  366. Skipped for continuous models
  367. MODULE: DECODE Decoding using models previously trained
  368. Decoding 130 segments starting at 0 (part 1 of 1)
  369. 0%
  370. Aligning results to find error rate
  371. Sphinxtrain path: /usr/local/lib/sphinxtrain
  372. Sphinxtrain binaries path: /usr/local/libexec/sphinxtrain
  373. Running the training
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