зеркало из https://github.com/mozilla/kaldi.git
Modified WSJ RESULTS file
git-svn-id: https://svn.code.sf.net/p/kaldi/code/trunk@117 5e6a8d80-dfce-4ca6-a32a-6e07a63d50c8
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@ -74,9 +74,9 @@ system:
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[vtln;diag] 10.7 14.9 | [feature-level VTLN; diagonal CMLLR]
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[utt] 10.6 14.4 | [per-utterance]
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sgmm2a 10.4 16.4 | [sgmm, unadapted, on delta features]
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sgmm2b 10.1 14.1 | [sgmm, spk-vector adaptation only]
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[utt] 10.2 13.7 | [adapt per utt]
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[spk,+fmllr] 9.9 13.4 | [per-spk, plus fMLLR]
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sgmm2b 10.0 13.8 | [sgmm, spk-vector adaptation only]
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[utt] 10.0 13.9 | [adapt per utt]
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[spk,+fmllr] 9.9 13.5 | [per-spk, plus fMLLR]
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tri3k 8.9 12.3 | [ splice-9-frames + LDA + ET; SI-284 ]
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[utt] 8.9 12.3 | [adaptation per utterance]
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[spk;+fmllr] 8.3 11.3 | [per-speaker adaptation; +fMLLR]
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@ -150,6 +150,8 @@ exp/decode_tri2m_tgpr_utt_vtln_diag_eval92/wer:%WER 10.64 [ 600 / 5641, 123 ins,
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exp/decode_tri2m_tgpr_utt_vtln_diag_eval93/wer:%WER 14.39 [ 495 / 3439, 60 ins, 70 del, 365 sub ]
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exp/decode_tri2m_tgpr_vtln_diag_eval92/wer:%WER 10.74 [ 606 / 5641, 125 ins, 52 del, 429 sub ]
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exp/decode_tri2m_tgpr_vtln_diag_eval93/wer:%WER 14.89 [ 512 / 3439, 68 ins, 67 del, 377 sub ]
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exp/decode_tri3a_tgpr_dfmllr_eval92/wer:%WER 10.51 [ 593 / 5641, 111 ins, 51 del, 431 sub ]
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exp/decode_tri3a_tgpr_dfmllr_eval93/wer:%WER 12.68 [ 436 / 3439, 52 ins, 52 del, 332 sub ]
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exp/decode_tri3a_tgpr_eval92/wer:%WER 10.67 [ 602 / 5641, 131 ins, 43 del, 428 sub ]
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@ -164,6 +166,15 @@ exp/decode_tri3a_tgpr_uttfmllr_eval93/wer:%WER 13.93 [ 479 / 3439, 56 ins, 69 de
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exp/decode_sgmm2a_tgpr_eval92/wer:%WER 10.44 [ 589 / 5641, 129 ins, 38 del, 422 sub ]
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exp/decode_sgmm2a_tgpr_eval93/wer:%WER 16.40 [ 564 / 3439, 68 ins, 92 del, 404 sub ]
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exp/decode_sgmm2b_fmllr_tgpr_eval92/wer:%WER 9.89 [ 558 / 5641, 131 ins, 43 del, 384 sub ]
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exp/decode_sgmm2b_fmllr_tgpr_eval93/wer:%WER 13.49 [ 464 / 3439, 56 ins, 67 del, 341 sub ]
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exp/decode_sgmm2b_tgpr_eval92/wer:%WER 9.98 [ 563 / 5641, 131 ins, 43 del, 389 sub ]
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exp/decode_sgmm2b_tgpr_eval93/wer:%WER 13.84 [ 476 / 3439, 61 ins, 67 del, 348 sub ]
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exp/decode_sgmm2b_tgpr_utt_eval92/wer:%WER 9.96 [ 562 / 5641, 131 ins, 40 del, 391 sub ]
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exp/decode_sgmm2b_tgpr_utt_eval93/wer:%WER 13.90 [ 478 / 3439, 59 ins, 68 del, 351 sub ]
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svatava:s1:
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# [old:]
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@ -255,7 +266,6 @@ exp/decode_sgmm2b_tgpr_utt_eval93/wer:%WER 13.72 [ 472 / 3439, 60 ins, 68 del, 3
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exp/decode_sgmm2b_fmllr_tgpr_eval92/wer:%WER 9.93 [ 560 / 5641, 130 ins, 42 del, 388 sub ]
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exp/decode_sgmm2b_fmllr_tgpr_eval93/wer:%WER 13.49 [ 464 / 3439, 54 ins, 72 del, 338 sub ]
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exp/decode_sgmm3b_fmllr_tgpr_eval92/wer:%WER 7.36 [ 415 / 5641, 110 ins, 14 del, 291 sub ]
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exp/decode_sgmm3b_fmllr_tgpr_eval93/wer:%WER 9.94 [ 342 / 3439, 56 ins, 49 del, 237 sub ]
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exp/decode_sgmm3b_tgpr_eval92/wer:%WER 7.68 [ 433 / 5641, 117 ins, 15 del, 301 sub ]
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@ -329,4 +339,3 @@ exp/decode_sgmm3b_tgpr_utt_eval93/wer:%WER 9.94 [ 342 / 3439, 52 ins, 52 del, 23
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#exp/decode_sgmm2b_tgpr_utt_eval92/wer:%WER 10.34 [ 583 / 5641, 135 ins, 39 del, 409 sub ]
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#exp/decode_sgmm2b_tgpr_utt_eval93/wer:%WER 13.78 [ 474 / 3439, 64 ins, 64 del, 346 sub ]
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