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docs/python相关/python语音识别fast-whisper.md

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+# python语音识别fast-whisper
+
+
+## 语音识别模型下载
+
+```shell
+git clone https://huggingface.co/Systran/faster-whisper-large-v3
+```
+
+
+## 相关使用代码如下
+
+
+```python
+from faster_whisper import WhisperModel
+
+def wisper_generate(audio_path):
+    path = "./faster-whisper-medium"
+    model = WhisperModel(model_size_or_path=path, device="auto", compute_type="int8",
+                         cpu_threads=12)
+    segments, info = model.transcribe(audio=audio_path,
+                                   vad_filter=True,
+                                   vad_parameters=dict(min_silence_duration_ms=1000))
+    print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
+    return segments,info
+if __name__ == "__main__":
+    wisper_generate('./test-cn.mp3')
+    wisper_generate('./test-en.mp3')
+    wisper_generate('./test-ja.wav')
+```

docs/兴趣/ffmpeg声音标准化处理.md

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+# ffmpeg-normalize 声音标准化处理
+
+
+## 安装ffmpeg-normalize
+```shell
+pip3 install ffmpeg-normalize
+```
+## 使用ffmpeg-normalize标准化声音到-14LUFS
+```shell
+ffmpeg-normalize ./output_temp.mp3 -o ./output.mp3 -ar 44100 --target -14 --loudness-range 50 --dual-mono -c:a libmp3lame -b:a 192k -pr --dynamic -f
+```