examples/common_voice/whisper_lid/demo_funasr.py
@@ -12,8 +12,8 @@ "example_ko.mp3", ] model = AutoModel(model="iic/speech_whisper-large_lid_multilingual_pytorch", model_revision="v2.0.4") model = AutoModel(model="iic/speech_whisper-large_lid_multilingual_pytorch") for wav_id in multilingual_wavs: wav_file = f"{model.model_path}/examples/{wav_id}" res = model.generate(input=wav_file, data_type="sound", inference_clip_length=250) print("detect sample {}: {}".format(wav_id, res)) print("detect sample {}: {}".format(wav_id, res))
