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        使用Python和百度语音识别生成视频字幕的实现

        时间:2023-12-15

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                  使用Python和百度语音识别生成视频字幕的实现,可以分为以下几个步骤:

                  1. 安装百度AI SDK
                    通过PIP命令安装百度SDK,命令:pip install baidu-aip
                  2. 创建百度语音识别对象
                    python
                    from aip import AipSpeech
                    APP_ID = '填写你的APP ID'
                    API_KEY = '填写你的API KEY'
                    SECRET_KEY = '填写你的SECRET KEY'
                    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
                  3. 读取视频文件
                    python
                    import moviepy.editor as mp
                    clip = mp.VideoFileClip("E:/video/test.mp4") # 视频文件路径
                  4. 将视频切分成多个音频片段
                    python
                    audio_sections = []
                    for i, t in enumerate(range(0, int(clip.duration), 60)):
                    audio = clip.subclip(t, t + 60).audio
                    audio.write_audiofile("E:/video/section{}.wav".format(i+1)) # 音频片段保存路径
                    audio_sections.append("E:/video/section{}.wav".format(i+1))
                  5. 调用百度语音识别接口识别音频文件
                    python
                    from aip import AipSpeech
                    client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
                    def get_file_content(file_path):
                    with open(file_path, 'rb') as fp:
                    return fp.read()
                    # 识别音频文件,返回utf-8编码结果
                    result = client.asr(get_file_content(audio_file), 'pcm', 16000, {'dev_pid': 1536, })
                  6. 将识别结果写入txt文件
                    python
                    with open("E:/video/results.txt", 'a+', encoding='utf-8') as f:
                    f.write(txt)
                  7. 将生成的字幕文件添加至视频中
                    python
                    # initial_time 是字幕开始时间
                    # txt_file 是存储识别结果的txt文件
                    txt_clip = mp.SubtitlesClip(txt_file, fontsize=60, color='white', initial_time=0)
                    final_clip = clip.set_audio(audio).set_duration(clip.duration)
                    final_clip = final_clip.set_audio(audio)
                    final_clip = final_clip.subclip(0, txt_clip.duration) if txt_clip.duration < final_clip.duration else final_clip
                    final_clip = final_clip.set_audio(final_clip.audio.set_duration(txt_clip.duration))
                    final_clip = final_clip.set_subclip(txt_clip)

                  以上是使用Python和百度语音识别生成视频字幕的完整攻略。下面是两个示例说明:

                  • 示例一: 生成字幕长度短的视频

                  生成字幕长度短的视频只需将上述代码的第四步、第六步、第七步替换为以下代码即可:

                  audio = clip.audio
                  # 识别音频文件,返回utf-8编码结果
                  result = client.asr(audio.raw_audio_data, 'wav', 16000, {'dev_pid': 1536, })
                  txt = result['result'][0]
                  txt_clip = mp.TextClip(txt, fontsize=60, color='white')
                  final_clip = clip.set_audio(audio).set_duration(txt_clip.duration)
                  final_clip = final_clip.set_audio(final_clip.audio.set_duration(txt_clip.duration))
                  final_clip = final_clip.subclip(0, txt_clip.duration)
                  final_clip = final_clip.set_subclip(txt_clip)
                  
                  • 示例二:批量识别音频文件生成字幕文件

                  如果需要批量识别音频文件来生成字幕文件,可以参考以下代码:

                  audio_files = ["E:/audio/1.wav", "E:/audio/2.wav", "E:/audio/3.wav"] # 音频文件列表
                  for audio_file in audio_files:
                      txt = ""
                      try:
                          result = client.asr(get_file_content(audio_file), 'pcm', 16000, {'dev_pid': 1536, })
                          txt = result['result'][0]
                      except:
                          pass
                      with open("E:/video/results.txt", 'a+', encoding='utf-8') as f:
                          f.write(txt)
                  
                  上一篇:基于Python PaddleSpeech实现语音文字处理 下一篇:Python实现全局变量的两个解决方法

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