Whisper 通过 mp3输出中文

像剪映和一些软件一样，识别字幕，输出文本，用Whisper。

Whisper是openai推出的，一种开源语音识别模型，能够识别很多种语言，然后将音频转成文字。

用python实现。

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不懂代码的，用图形界面buzz和const-me/whisper

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python记住一定要安装3.9 - 3.11 之间，我用到3.9.9

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命令是这样：whisper --language Chinese --model large audio.mp3

就可以输出了。

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也可以写代码：

代码如下：

import os.path
import whisper

model = whisper.load_model("turbo")

# load audio and pad/trim it to fit 30 seconds
audio_path = os.path.join(os.path.dirname(__file__), "1.mp3")
audio = whisper.load_audio(audio_path)
audio = whisper.pad_or_trim(audio)

# make log-Mel spectrogram and move to the same device as the model
mel = whisper.log_mel_spectrogram(audio, n_mels=model.dims.n_mels).to(model.device)

# detect the spoken language
_, probs = model.detect_language(mel)
print(f"Detected language: {max(probs, key=probs.get)}") # 检测是哪国语言

# decode the audio
options = whisper.DecodingOptions()
result = whisper.decode(model, mel, options)

# print the recognized text
print(result.text) # 输出结果