egs_modelscope/asr/paraformer/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/infer_aishell1_subtest_demo.py
@@ -1,3 +1,4 @@ from itertools import count import os import tempfile import codecs @@ -19,11 +20,15 @@ os.makedirs(work_dir) wav_file_path = os.path.join(work_dir, "wav.scp") counter = 0 with codecs.open(wav_file_path, 'w') as fin: for line in ds_dict: counter += 1 wav = line["Audio:FILE"] idx = wav.split("/")[-1].split(".")[0] fin.writelines(idx + " " + wav + "\n") if counter == 50: break audio_in = wav_file_path inference_pipeline = pipeline(
