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| | | |
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| | | Examples: |
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| | | >>> import soundfile |
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| | | >>> speech2text = Speech2Text("asr_config.yml", "asr.pth") |
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| | | >>> speech2text = Speech2Text("asr_config.yml", "asr.pb") |
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| | | >>> audio, rate = soundfile.read("speech.wav") |
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| | | >>> speech2text(audio) |
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| | | [(text, token, token_int, hypothesis object), ...] |
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| | |
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| | | else: |
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| | | device = "cpu" |
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| | | |
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| | | if param_dict is not None and "decoding_model" in param_dict: |
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| | | if param_dict["decoding_model"] == "fast": |
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| | | decoding_ind = 0 |
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| | | decoding_mode = "model1" |
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| | | elif param_dict["decoding_model"] == "normal": |
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| | | decoding_ind = 0 |
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| | | decoding_mode = "model2" |
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| | | elif param_dict["decoding_model"] == "offline": |
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| | | decoding_ind = 1 |
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| | | decoding_mode = "model2" |
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| | | else: |
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| | | raise NotImplementedError("unsupported decoding model {}".format(param_dict["decoding_model"])) |
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| | | |
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| | | # 1. Set random-seed |
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| | | set_all_random_seed(seed) |
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| | | |
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| | |
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| | | output_dir_v2: Optional[str] = None, |
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| | | fs: dict = None, |
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| | | param_dict: dict = None, |
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| | | **kwargs, |
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| | | ): |
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| | | # 3. Build data-iterator |
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| | | if data_path_and_name_and_type is None and raw_inputs is not None: |
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