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Merge pull request #122 from alibaba-damo-academy/dev_lhn

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Dev lhn
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zhifu gao 2023-02-16 12:37:24 +08:00 committed by GitHub
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7 changed files with 7 additions and 7 deletions
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2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-minnan-16k-common-vocab3825/README.md
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@ -1,6 +1,6 @@
# ModelScope Model
## How to finetune and infer using a pretrained Paraformer-large Model
## How to finetune and infer using a pretrained UniASR Model
### Finetune

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-minnan-16k-common-vocab3825/infer.py
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@ -23,7 +23,7 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
batch_size=1
)
audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
inference_pipline(audio_in=audio_in)
inference_pipline(audio_in=audio_in, param_dict={"decoding_model": "normal"})
def modelscope_infer(params):

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-minnan-16k-common-vocab3825/infer_after_finetune.py
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@ -34,7 +34,7 @@ def modelscope_infer_after_finetune(params):
batch_size=1
)
audio_in = os.path.join(params["data_dir"], "wav.scp")
inference_pipeline(audio_in=audio_in)
inference_pipeline(audio_in=audio_in, param_dict={"decoding_model": "normal"})
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer.py
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@ -23,7 +23,7 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
batch_size=1
)
audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
inference_pipline(audio_in=audio_in)
inference_pipline(audio_in=audio_in, param_dict={"decoding_model": "offline"})
def modelscope_infer(params):

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-offline/infer_after_finetune.py
View File

@ -34,7 +34,7 @@ def modelscope_infer_after_finetune(params):
batch_size=1
)
audio_in = os.path.join(params["data_dir"], "wav.scp")
inference_pipeline(audio_in=audio_in)
inference_pipeline(audio_in=audio_in, param_dict={"decoding_model": "offline"})
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/infer.py
View File

@ -23,7 +23,7 @@ def modelscope_infer_core(output_dir, split_dir, njob, idx):
batch_size=1
)
audio_in = os.path.join(split_dir, "wav.{}.scp".format(idx))
inference_pipline(audio_in=audio_in)
inference_pipline(audio_in=audio_in, param_dict={"decoding_model": "normal"})
def modelscope_infer(params):

2
egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-pytorch-online/infer_after_finetune.py
View File

@ -34,7 +34,7 @@ def modelscope_infer_after_finetune(params):
batch_size=1
)
audio_in = os.path.join(params["data_dir"], "wav.scp")
inference_pipeline(audio_in=audio_in)
inference_pipeline(audio_in=audio_in, param_dict={"decoding_model": "normal"})
# computer CER if GT text is set
text_in = os.path.join(params["data_dir"], "text")