funasr/bin/modelscope_infer.py
@@ -82,6 +82,9 @@ wav_id, wav_path = line.strip().split() logging.info("decoding, utt_id: ['{}']".format(wav_id)) rec_result = inference_pipeline(audio_in=wav_path) text = rec_result["text"] if 'text' in rec_result: text = rec_result["text"] else: text = '' f_out.write(wav_id + " " + text + "\n") logging.info("best hypo: {} \n".format(text))
