利用AudioSegment库抽出音轨，肯定时间段距离采样音频的dBFS，如果小于阈值（个别认为小于-50为静音），当然还存在负无穷的景象须要判断。
def audio_silence_check_service(video_location): download_video_to_local(location=video_location, video_filename=video_filename) extract_audio_result = extract_audio_from_video(video_filename, audio_filename) is_exist_silence = False silence_desc = '' silence_detect_result = [] if extract_audio_result: silence_detect_result = silence_detect(audio_filename) for silence_chunk in silence_detect_result.get('silence_result'): if int(silence_chunk[1]) - int(silence_chunk[0]) > int( int(silence_detect_result.get('audio_duration')) / 3): silence_desc += f'{silence_chunk[0]}~{silence_chunk[1]},' if silence_desc: silence_desc += 'ms存在静音' is_exist_silence = True else: is_exist_silence = True silence_desc = f'{qipuid}未获取到音轨' logger_error(silence_desc) return is_exist_silence, silence_desc, silence_detect_result def silence_detect(audio_file, silence_threshold=-50, chunk_size=10): sound = AudioSegment.from_file(audio_file, format="wav") assert chunk_size > 0 silence_chunks = list() silence_chunks_start_ms = -1 sound_duration = len(sound) for current_ms in range(0, sound_duration, chunk_size): current_ms_chunks_dBFS = sound[current_ms: current_ms + chunk_size].dBFS if current_ms_chunks_dBFS < silence_threshold or current_ms_chunks_dBFS == -inf: if silence_chunks_start_ms == -1: silence_chunks_start_ms = current_ms else: if current_ms <= sound_duration <= current_ms + chunk_size: silence_chunks.append([silence_chunks_start_ms, sound_duration]) silence_chunks_start_ms = -1 else: if silence_chunks_start_ms != -1: silence_chunks.append([silence_chunks_start_ms, current_ms]) silence_chunks_start_ms = -1 return {'audio_duration': sound_duration, 'silence_result': silence_chunks} def download_video_to_local(location, video_filename): res = get(location) with open(video_filename, r'wb') as f: f.write(res.content)