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| # -*- coding:utf-8 -*- | |
| import argparse | |
| import os | |
| import traceback | |
| from tqdm import tqdm | |
| # from funasr.utils import version_checker | |
| # version_checker.check_for_update = lambda: None | |
| from funasr import AutoModel | |
| path_asr = 'tools/asr/models/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch' | |
| path_vad = 'tools/asr/models/speech_fsmn_vad_zh-cn-16k-common-pytorch' | |
| path_punc = 'tools/asr/models/punc_ct-transformer_zh-cn-common-vocab272727-pytorch' | |
| path_asr = path_asr if os.path.exists(path_asr) else "iic/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch" | |
| path_vad = path_vad if os.path.exists(path_vad) else "iic/speech_fsmn_vad_zh-cn-16k-common-pytorch" | |
| path_punc = path_punc if os.path.exists(path_punc) else "iic/punc_ct-transformer_zh-cn-common-vocab272727-pytorch" | |
| model = AutoModel( | |
| model = path_asr, | |
| model_revision = "v2.0.4", | |
| vad_model = path_vad, | |
| vad_model_revision = "v2.0.4", | |
| punc_model = path_punc, | |
| punc_model_revision = "v2.0.4", | |
| ) | |
| def only_asr(input_file): | |
| try: | |
| text = model.generate(input=input_file)[0]["text"] | |
| except: | |
| text = '' | |
| print(traceback.format_exc()) | |
| return text | |
| def execute_asr(input_folder, output_folder, model_size, language): | |
| input_file_names = os.listdir(input_folder) | |
| input_file_names.sort() | |
| output = [] | |
| output_file_name = os.path.basename(input_folder) | |
| for file_name in tqdm(input_file_names): | |
| try: | |
| file_path = os.path.join(input_folder, file_name) | |
| text = model.generate(input=file_path)[0]["text"] | |
| output.append(f"{file_path}|{output_file_name}|{language.upper()}|{text}") | |
| except: | |
| print(traceback.format_exc()) | |
| output_folder = output_folder or "output/asr_opt" | |
| os.makedirs(output_folder, exist_ok=True) | |
| output_file_path = os.path.abspath(f'{output_folder}/{output_file_name}.list') | |
| with open(output_file_path, "w", encoding="utf-8") as f: | |
| f.write("\n".join(output)) | |
| print(f"ASR 任务完成->标注文件路径: {output_file_path}\n") | |
| return output_file_path | |
| if __name__ == '__main__': | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("-i", "--input_folder", type=str, required=True, | |
| help="Path to the folder containing WAV files.") | |
| parser.add_argument("-o", "--output_folder", type=str, required=True, | |
| help="Output folder to store transcriptions.") | |
| parser.add_argument("-s", "--model_size", type=str, default='large', | |
| help="Model Size of FunASR is Large") | |
| parser.add_argument("-l", "--language", type=str, default='zh', choices=['zh'], | |
| help="Language of the audio files.") | |
| parser.add_argument("-p", "--precision", type=str, default='float16', choices=['float16','float32'], | |
| help="fp16 or fp32")#还没接入 | |
| cmd = parser.parse_args() | |
| execute_asr( | |
| input_folder = cmd.input_folder, | |
| output_folder = cmd.output_folder, | |
| model_size = cmd.model_size, | |
| language = cmd.language, | |
| ) | |