| | |
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| | | count=1 |
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| | | |
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| | | # general configuration |
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| | | stage=1 |
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| | | stop_stage=1 |
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| | | stage=0 |
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| | | stop_stage=10 |
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| | | # number of jobs for data process |
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| | | nj=16 |
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| | | sr=8000 |
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| | |
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| | | |
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| | | # Scoring for finetuned model, you may get a DER like: |
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| | | # oracle_vad | system_vad |
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| | | # 7.27 | 8.08 |
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| | | # 7.32 | 8.14 |
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| | | if [ ${stage} -le 9 ] && [ ${stop_stage} -ge 9 ]; then |
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| | | echo "stage 9: Scoring finetuned models" |
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| | | if [ ! -e dscore ]; then |
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| | |
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| | | # Then find the wav files to construct wav.scp and put it at data/callhome2/wav.scp. |
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| | | # After iteratively perform SOAP, you will get DER results like: |
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| | | # iters : oracle_vad | system_vad |
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| | | # iter_0: 9.63 | 10.43 |
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| | | # iter_1: 9.17 | 10.03 |
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| | | # iter_2: 9.11 | 9.98 |
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| | | # iter_3: 9.08 | 9.96 |
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| | | # iter_4: 9.07 | 9.95 |
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| | | # iter_0: 9.58 | 10.46 |
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| | | # iter_1: 9.22 | 10.15 |
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| | | # iter_2: 9.21 | 10.14 |
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| | | # iter_3: 9.30 | 10.24 |
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| | | # iter_4: 9.29 | 10.23 |
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| | | if [ ${stage} -le 10 ] && [ ${stop_stage} -ge 10 ]; then |
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| | | if [ ! -e ${expdir}/speech_xvector_sv-en-us-callhome-8k-spk6135-pytorch ]; then |
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| | | git lfs install |
|---|
