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Merge pull request #55 from alibaba-damo-academy/dev

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fix infer_after_finetune.py
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hnluo 2023-02-01 18:35:32 +08:00 committed by GitHub
commit c1dafa8367
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50 changed files with 13 additions and 13 deletions
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egs/aishell/conformer/utils
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../tranformer/utils
../transformer/utils/

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egs/aishell/data2vec_finetune/utils
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../../aishell/tranformer/utils
../transformer/utils/

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egs/aishell/paraformer/utils
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../tranformer/utils
../transformer/utils/

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egs/aishell/paraformerbert/utils
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../tranformer/utils
../transformer/utils/

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egs/aishell/tranformer/conf/decode_asr_transformer.yaml → egs/aishell/transformer/conf/decode_asr_transformer.yaml
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egs/aishell/tranformer/conf/train_asr_transformer.yaml → egs/aishell/transformer/conf/train_asr_transformer.yaml
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egs/aishell/tranformer/local/aishell_data_prep.sh → egs/aishell/transformer/local/aishell_data_prep.sh
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egs/aishell/tranformer/local/prepare_data.sh → egs/aishell/transformer/local/prepare_data.sh
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egs/aishell/tranformer/path.sh → egs/aishell/transformer/path.sh
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egs/aishell/tranformer/run.sh → egs/aishell/transformer/run.sh
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egs/aishell/tranformer/utils/__init__.py → egs/aishell/transformer/utils/__init__.py
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egs/aishell/tranformer/utils/apply_cmvn.py → egs/aishell/transformer/utils/apply_cmvn.py
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egs/aishell/tranformer/utils/apply_cmvn.sh → egs/aishell/transformer/utils/apply_cmvn.sh
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egs/aishell/tranformer/utils/apply_lfr_and_cmvn.py → egs/aishell/transformer/utils/apply_lfr_and_cmvn.py
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egs/aishell/tranformer/utils/apply_lfr_and_cmvn.sh → egs/aishell/transformer/utils/apply_lfr_and_cmvn.sh
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egs/aishell/tranformer/utils/combine_cmvn_file.py → egs/aishell/transformer/utils/combine_cmvn_file.py
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egs/aishell/tranformer/utils/compute_cmvn.py → egs/aishell/transformer/utils/compute_cmvn.py
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egs/aishell/tranformer/utils/compute_cmvn.sh → egs/aishell/transformer/utils/compute_cmvn.sh
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egs/aishell/tranformer/utils/compute_fbank.py → egs/aishell/transformer/utils/compute_fbank.py
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egs/aishell/tranformer/utils/compute_fbank.sh → egs/aishell/transformer/utils/compute_fbank.sh
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egs/aishell/tranformer/utils/compute_wer.py → egs/aishell/transformer/utils/compute_wer.py
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egs/aishell/tranformer/utils/download_model.py → egs/aishell/transformer/utils/download_model.py
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egs/aishell/tranformer/utils/error_rate_zh → egs/aishell/transformer/utils/error_rate_zh
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egs/aishell/tranformer/utils/extract_embeds.py → egs/aishell/transformer/utils/extract_embeds.py
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egs/aishell/tranformer/utils/filter_scp.pl → egs/aishell/transformer/utils/filter_scp.pl
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egs/aishell/tranformer/utils/fix_data.sh → egs/aishell/transformer/utils/fix_data.sh
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egs/aishell/tranformer/utils/fix_data_feat.sh → egs/aishell/transformer/utils/fix_data_feat.sh
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egs/aishell/tranformer/utils/gen_ark_list.sh → egs/aishell/transformer/utils/gen_ark_list.sh
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egs/aishell/tranformer/utils/parse_options.sh → egs/aishell/transformer/utils/parse_options.sh
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egs/aishell/tranformer/utils/print_args.py → egs/aishell/transformer/utils/print_args.py
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egs/aishell/tranformer/utils/proc_conf_oss.py → egs/aishell/transformer/utils/proc_conf_oss.py
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egs/aishell/tranformer/utils/proce_text.py → egs/aishell/transformer/utils/proce_text.py
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egs/aishell/tranformer/utils/run.pl → egs/aishell/transformer/utils/run.pl
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egs/aishell/tranformer/utils/shuffle_list.pl → egs/aishell/transformer/utils/shuffle_list.pl
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egs/aishell/tranformer/utils/split_data.py → egs/aishell/transformer/utils/split_data.py
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egs/aishell/tranformer/utils/split_scp.pl → egs/aishell/transformer/utils/split_scp.pl
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egs/aishell/tranformer/utils/subset_data_dir_tr_cv.sh → egs/aishell/transformer/utils/subset_data_dir_tr_cv.sh
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egs/aishell/tranformer/utils/text2token.py → egs/aishell/transformer/utils/text2token.py
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egs/aishell/tranformer/utils/text_tokenize.py → egs/aishell/transformer/utils/text_tokenize.py
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egs/aishell/tranformer/utils/text_tokenize.sh → egs/aishell/transformer/utils/text_tokenize.sh
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egs/aishell/tranformer/utils/textnorm_zh.py → egs/aishell/transformer/utils/textnorm_zh.py
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egs/aishell2/conformer/utils
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@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

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egs/aishell2/paraformer/utils
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@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

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egs/aishell2/paraformerbert/utils
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@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

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egs/cnceleb/resnet34/utils
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../../aishell/tranformer/utils
../../aishell/transformer/utils

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egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py
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@ -37,7 +37,7 @@ def modelscope_infer_after_finetune(params):
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")
if text_in is not None:
if os.path.exists(text_in):
text_proc_file = os.path.join(decoding_path, "1best_recog/token")
compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))

2
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-aishell1-vocab8404-pytorch/infer_after_finetune.py
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")
if text_in is not None:
if os.path.exists(text_in):
text_proc_file = os.path.join(decoding_path, "1best_recog/token")
compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))

2
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-aishell2-vocab8404-pytorch/infer_after_finetune.py
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")
if text_in is not None:
if os.path.exists(text_in):
text_proc_file = os.path.join(decoding_path, "1best_recog/token")
compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))

2
egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/infer_after_finetune.py
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")
if text_in is not None:
if os.path.exists(text_in):
text_proc_file = os.path.join(decoding_path, "1best_recog/token")
compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))

2
egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1/infer_after_finetune.py
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@ -38,7 +38,7 @@ def modelscope_infer_after_finetune(params):
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")
if text_in is not None:
if os.path.exists(text_in):
text_proc_file = os.path.join(decoding_path, "1best_recog/token")
compute_wer(text_in, text_proc_file, os.path.join(decoding_path, "text.cer"))