import librosa import ffmpeg import numpy as np def load_audio(file, sr): try: # https://github.com/openai/whisper/blob/main/whisper/audio.py#L26 # This launches a subprocess to decode audio while down-mixing and resampling as necessary. # Requires the ffmpeg CLI and `ffmpeg-python` package to be installed. file = ( file.strip(" ").strip('"').strip("\n").strip('"').strip(" ") ) # 防止小白拷路径头尾带了空格和"和回车 out, _ = ( ffmpeg.input(file, threads=0) .output("-", format="f32le", acodec="pcm_f32le", ac=1, ar=sr) .run(cmd=["ffmpeg", "-nostdin"], capture_stdout=True, capture_stderr=True) ) return np.frombuffer(out, np.float32).flatten() except AttributeError: audio = file[1] / 32768.0 if len(audio.shape) == 2: audio = np.mean(audio, -1) return librosa.resample(audio, orig_sr=file[0], target_sr=16000) except Exception as e: raise RuntimeError(f"Failed to load audio: {e}")