使用Python和百度语音识别生成视频字幕的实现

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：

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)