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| | | Examples: |
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| | | >>> import soundfile |
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| | | >>> import numpy as np |
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| | | >>> speech2diar = Speech2Diarization("diar_sond_config.yml", "diar_sond.pth") |
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| | | >>> speech2diar = Speech2Diarization("diar_sond_config.yml", "diar_sond.pb") |
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| | | >>> profile = np.load("profiles.npy") |
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| | | >>> audio, rate = soundfile.read("speech.wav") |
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| | | >>> speech2diar(audio, profile) |
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| | |
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| | | if data_path_and_name_and_type is None and raw_inputs is not None: |
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| | | if isinstance(raw_inputs, torch.Tensor): |
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| | | raw_inputs = raw_inputs.numpy() |
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| | | data_path_and_name_and_type = [raw_inputs[0], "speech", "bytes"] |
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| | | data_path_and_name_and_type = [raw_inputs[0], "speech", "sound"] |
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| | | loader = EENDOLADiarTask.build_streaming_iterator( |
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| | | data_path_and_name_and_type, |
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| | | dtype=dtype, |
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