制作语音数据集: 爬取B站音视频+基于whisper语音识别标注

本文以制作小学课堂音频数据集为例子

1. 搜索关键字获取音视频链接

if __name__ == "__main__":
    
    with sync_playwright() as playwright:
        searcher = BLVideoSearch(playwright, headless=True)
        url = searcher.make_url(keyword=["小学公开课"])
        searcher.run(url, outfile="videos_url.txt")

2. 批量下载和实时视频转音频

2.1 多线程批量下载 (you-get)

you-get 子进程：

command = [YOUGET, "-o", self.video_dir, "-O", utt, task]
                    subprocess.run(command, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)

2.2 实时视频转音频

ffmpeg 子进程：

command = [FFMPEG, "-i", video_file, '-ac', '1', '-ar', '16000', audio_file]
                    subprocess.run(command, check=True, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)

3. 使用whisper进行断句和语音识别