update uniasr infer recipe

仁迷

2023-02-16 f182090cda234da169f7644e3ac4be2632b86022

update uniasr infer recipe

 egs_modelscope/asr/uniasr/speech_UniASR_asr_2pass-zh-cn-8k-common-vocab3445-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, param_dict={"decoding_model": "normal"})
    inference_pipline(audio_in=audio_in, param_dict={"decoding_model": "offline"})


def modelscope_infer(params):

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

@@ -34,7 +34,7 @@
        batch_size=1
    )
    audio_in = os.path.join(params["data_dir"], "wav.scp")
    inference_pipeline(audio_in=audio_in, param_dict={"decoding_model": "normal"})
    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")