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https://github.com/modelscope/FunASR
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test
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@ -438,7 +438,6 @@ class LCBNet(nn.Module):
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speech = speech.to(device=kwargs["device"])
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speech_lengths = speech_lengths.to(device=kwargs["device"])
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pdb.set_trace()
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# Encoder
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encoder_out, encoder_out_lens = self.encode(speech, speech_lengths)
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if isinstance(encoder_out, tuple):
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@ -31,7 +31,7 @@ def load_audio_text_image_video(data_or_path_or_list, fs: int = 16000, audio_fs:
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return [load_audio_text_image_video(audio, fs=fs, audio_fs=audio_fs, data_type=data_type, **kwargs) for audio in data_or_path_or_list]
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if isinstance(data_or_path_or_list, str) and data_or_path_or_list.startswith('http'): # download url to local file
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data_or_path_or_list = download_from_url(data_or_path_or_list)
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pdb.set_trace()
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if isinstance(data_or_path_or_list, str) and os.path.exists(data_or_path_or_list): # local file
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if data_type is None or data_type == "sound":
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data_or_path_or_list, audio_fs = torchaudio.load(data_or_path_or_list)
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