update

speech_asr

2023-03-15 85c1848286e206195a94993b49e8c32117cadc90

 funasr/bin/eend_ola_inference.py

@@ -210,7 +210,7 @@
        if data_path_and_name_and_type is None and raw_inputs is not None:
            if isinstance(raw_inputs, torch.Tensor):
                raw_inputs = raw_inputs.numpy()
            data_path_and_name_and_type = [raw_inputs, "speech", "waveform"]
            data_path_and_name_and_type = [raw_inputs[0], "speech", "bytes"]
        logger.info(data_path_and_name_and_type)
        loader = EENDOLADiarTask.build_streaming_iterator(
            data_path_and_name_and_type,