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* update the plda codes * update the plda code to run.sh * update readme * reformat code * fix lint error * fix lint error * update vox plda recipe * update vox plda recipe * Delete __init__.py --------- Co-authored-by: wangshuai <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,87 @@ | ||
| #!/bin/bash | ||
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| # Copyright (c) 2023 Shuai Wang ([email protected]) | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
| exp_dir= | ||
| trials="trials trials_tgl trials_yue" | ||
| data=data | ||
| aug_plda_data=0 | ||
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| stage=-1 | ||
| stop_stage=-1 | ||
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| . tools/parse_options.sh | ||
| . path.sh | ||
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| if [ $aug_plda_data = 0 ];then | ||
| sre_plda_data=sre | ||
| else | ||
| sre_plda_data=sre_aug | ||
| fi | ||
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| if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then | ||
| echo "train the plda model ..." | ||
| python wespeaker/bin/train_plda.py \ | ||
| --exp_dir ${exp_dir} \ | ||
| --scp_path ${exp_dir}/embeddings/${sre_plda_data}/xvector.scp \ | ||
| --utt2spk ${data}/${sre_plda_data}/utt2spk \ | ||
| --indim 256 \ | ||
| --iter 10 | ||
| echo "plda training finished" | ||
| fi | ||
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| if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then | ||
| echo "adapt the plda model ..." | ||
| python wespeaker/bin/adapt_plda.py \ | ||
| -mo ${exp_dir}/plda \ | ||
| -ma ${exp_dir}/plda_adapt \ | ||
| -ad ${exp_dir}/embeddings/sre16_major/xvector.scp \ | ||
| -ws 0.75 \ | ||
| -as 0.25 | ||
| echo "plda adapted finished" | ||
| fi | ||
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| if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then | ||
| echo "apply plda scoring ..." | ||
| mkdir -p ${exp_dir}/scores | ||
| trials_dir=${data}/trials | ||
| for x in $trials; do | ||
| echo "scoring on " $x | ||
| python wespeaker/bin/eval_plda.py \ | ||
| --enroll_scp_path ${exp_dir}/embeddings/sre16_eval_enroll/xvector.scp \ | ||
| --test_scp_path ${exp_dir}/embeddings/sre16_eval_test/xvector.scp \ | ||
| --indomain_scp ${exp_dir}/embeddings/sre16_major/xvector.scp \ | ||
| --utt2spk data/sre16_eval_enroll/utt2spk \ | ||
| --trial ${trials_dir}/${x} \ | ||
| --score_path ${exp_dir}/scores/${x}.pldascore \ | ||
| --model_path ${exp_dir}/plda_adapt | ||
| done | ||
| fi | ||
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| if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then | ||
| echo "compute metrics (EER/minDCF) ..." | ||
| scores_dir=${exp_dir}/scores | ||
| for x in $trials; do | ||
| python wespeaker/bin/compute_metrics.py \ | ||
| --p_target 0.01 \ | ||
| --c_fa 1 \ | ||
| --c_miss 1 \ | ||
| ${scores_dir}/${x}.pldascore \ | ||
| 2>&1 | tee -a ${scores_dir}/sre16_plda_result | ||
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| echo "compute DET curve ..." | ||
| python wespeaker/bin/compute_det.py \ | ||
| ${scores_dir}/${x}.pldascore | ||
| done | ||
| fi |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| # Copyright (c) 2023 Brno University of Technology | ||
| # Shuai Wang ([email protected]) | ||
| # | ||
| # Python implementation of Kaldi unsupervised PLDA adaptation | ||
| # ( https://github.com/kaldi-asr/kaldi/blob/master/src/ivector/plda.cc#L613 ) | ||
| # by Daniel Povey. | ||
| # | ||
| # Licensed under the Apache License, Version 2.0 (the "License"); | ||
| # you may not use this file except in compliance with the License. | ||
| # You may obtain a copy of the License at | ||
| # | ||
| # http://www.apache.org/licenses/LICENSE-2.0 | ||
| # | ||
| # Unless required by applicable law or agreed to in writing, software | ||
| # distributed under the License is distributed on an "AS IS" BASIS, | ||
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| # See the License for the specific language governing permissions and | ||
| # limitations under the License. | ||
|
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| import argparse | ||
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| from wespeaker.utils.plda.two_cov_plda import TwoCovPLDA | ||
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| if __name__ == '__main__': | ||
| parser = argparse.ArgumentParser() | ||
| parser.add_argument('--adp_scp', '-ad', | ||
| type=str, | ||
| required=True, | ||
| help='Data for unlabeled adaptation.') | ||
| parser.add_argument('--across_class_scale', '-as', | ||
| type=float, | ||
| help='Scaling factor for across class covariance.', | ||
| default=0.5) | ||
| parser.add_argument('--within_class_scale', '-ws', | ||
| type=float, | ||
| help='Scaling factor for withn class covariance.', | ||
| default=0.5) | ||
| parser.add_argument('--mdl_org', '-mo', | ||
| type=str, | ||
| required=True, | ||
| help='Original PLDA mdl.') | ||
| parser.add_argument('--mdl_adp', '-ma', | ||
| type=str, | ||
| required=True, | ||
| help='Adapted PLDA mdl.') | ||
| parser.add_argument('--mdl_format', '-mf', | ||
| type=str, | ||
| default='wespeaker', | ||
| help='Format of the model wespeaker/kaldi') | ||
|
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| args = parser.parse_args() | ||
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| kaldi_format = True if args.mdl_format == 'kaldi' else False | ||
| plda = TwoCovPLDA.load_model(args.mdl_org, kaldi_format) | ||
| adapt_plda = plda.adapt(args.adp_scp, args.across_class_scale, | ||
| args.within_class_scale) | ||
| adapt_plda.save_model(args.mdl_adp) |
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