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- from faster_whisper import WhisperModel
- # 指定模型
- model_size = "large-v3"
- # or run on CPU with INT8
- model = WhisperModel(model_size, device="cpu", compute_type="int8")
- # 加载音频，执行语音识别
- segments, info = model.transcribe("Haul.mp3", beam_size=5)
- print("Detected language '%s' with probability %f" % (info.language, info.language_probability))
- for segment in segments:
- print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
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