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

hnluo

2023-02-01 c1dafa83678f8f42f926ef7a54e17399227b26db

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

fix infer_after_finetune.py

 egs/aishell/conformer/utils

@@ -1 +1 @@
../tranformer/utils
../transformer/utils/

 egs/aishell/data2vec_finetune/utils

@@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

 egs/aishell/paraformer/utils

@@ -1 +1 @@
../tranformer/utils
../transformer/utils/

 egs/aishell/paraformerbert/utils

@@ -1 +1 @@
../tranformer/utils
../transformer/utils/

 egs/aishell/transformer/conf/decode_asr_transformer.yaml

 egs/aishell/transformer/conf/train_asr_transformer.yaml

 egs/aishell/transformer/local/aishell_data_prep.sh

 egs/aishell/transformer/local/prepare_data.sh

 egs/aishell/transformer/path.sh

 egs/aishell/transformer/run.sh

 egs/aishell/transformer/utils/__init__.py

 egs/aishell/transformer/utils/apply_cmvn.py

 egs/aishell/transformer/utils/apply_cmvn.sh

 egs/aishell/transformer/utils/apply_lfr_and_cmvn.py

 egs/aishell/transformer/utils/apply_lfr_and_cmvn.sh

 egs/aishell/transformer/utils/combine_cmvn_file.py

 egs/aishell/transformer/utils/compute_cmvn.py

 egs/aishell/transformer/utils/compute_cmvn.sh

 egs/aishell/transformer/utils/compute_fbank.py

 egs/aishell/transformer/utils/compute_fbank.sh

 egs/aishell/transformer/utils/compute_wer.py

 egs/aishell/transformer/utils/download_model.py

 egs/aishell/transformer/utils/error_rate_zh

 egs/aishell/transformer/utils/extract_embeds.py

 egs/aishell/transformer/utils/filter_scp.pl

 egs/aishell/transformer/utils/fix_data.sh

 egs/aishell/transformer/utils/fix_data_feat.sh

 egs/aishell/transformer/utils/gen_ark_list.sh

 egs/aishell/transformer/utils/parse_options.sh

 egs/aishell/transformer/utils/print_args.py

 egs/aishell/transformer/utils/proc_conf_oss.py

 egs/aishell/transformer/utils/proce_text.py

 egs/aishell/transformer/utils/run.pl

 egs/aishell/transformer/utils/shuffle_list.pl

 egs/aishell/transformer/utils/split_data.py

 egs/aishell/transformer/utils/split_scp.pl

 egs/aishell/transformer/utils/subset_data_dir_tr_cv.sh

 egs/aishell/transformer/utils/text2token.py

 egs/aishell/transformer/utils/text_tokenize.py

 egs/aishell/transformer/utils/text_tokenize.sh

 egs/aishell/transformer/utils/textnorm_zh.py

 egs/aishell2/conformer/utils

@@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

 egs/aishell2/paraformer/utils

@@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

 egs/aishell2/paraformerbert/utils

@@ -1 +1 @@
../../aishell/tranformer/utils
../transformer/utils/

 egs/cnceleb/resnet34/utils

@@ -1 +1 @@
../../aishell/tranformer/utils
../../aishell/transformer/utils

 egs_modelscope/asr/data2vec/speech_data2vec_pretrain-zh-cn-aishell2-16k-pytorch/infer_after_finetune.py

@@ -37,7 +37,7 @@

    # 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"))


 egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-aishell1-vocab8404-pytorch/infer_after_finetune.py

@@ -38,7 +38,7 @@

    # 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"))


 egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-aishell2-vocab8404-pytorch/infer_after_finetune.py

@@ -38,7 +38,7 @@

    # 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"))


 egs_modelscope/asr/paraformer/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/infer_after_finetune.py

@@ -38,7 +38,7 @@

    # 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"))


 egs_modelscope/asr/paraformer/speech_paraformer_asr_nat-zh-cn-8k-common-vocab8358-tensorflow1/infer_after_finetune.py

@@ -38,7 +38,7 @@

    # 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"))