add infer decoding model param

onlybetheone

2023-02-15 41b71d1b474c0b8261271c3c2c516793e8c34885

add infer decoding model param

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-offline/infer.py

@@ -23,7 +23,7 @@
        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):

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-fa-16k-common-vocab1257-pytorch-online/infer.py

@@ -23,7 +23,7 @@
        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):

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-offline/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-id-16k-common-vocab1067-tensorflow1-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-offline/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-ja-16k-common-vocab93-tensorflow1-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-offline/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-pt-16k-common-vocab1617-tensorflow1-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-offline/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-offline",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-online/infer.py

@@ -9,5 +9,5 @@
        model="damo/speech_UniASR_asr_2pass-vi-16k-common-vocab1001-pytorch-online",
        output_dir=output_dir,
    )
    rec_result = inference_pipline(audio_in=audio_in)
    rec_result = inference_pipline(audio_in=audio_in, param_dict={"decoding_model":"offline"})
    print(rec_result)