import os import traceback # import ffmpeg import numpy as np import soundfile as sf import librosa from moyoyo_tts.tools.i18n.i18n import I18nAuto i18n = I18nAuto(language=os.environ.get('language', 'Auto')) def load_audio(file, sr): try: file = clean_path(file) # 防止小白拷路径头尾带了空格和"和回车 if os.path.exists(file) == False: raise RuntimeError( "You input a wrong audio path that does not exists, please fix it!" ) # 使用soundfile读取音频文件 data, original_sr = sf.read(file, dtype='float32') # 如果是多声道,转换为单声道(取平均值) if len(data.shape) > 1: data = np.mean(data, axis=1) # 如果采样率不匹配,进行重采样 if original_sr != sr: data = librosa.resample(data, orig_sr=original_sr, target_sr=sr) return data.flatten() except Exception as e: traceback.print_exc() raise RuntimeError(i18n("音频加载失败")) # 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 = clean_path(file) # 防止小白拷路径头尾带了空格和"和回车 # if os.path.exists(file) == False: # raise RuntimeError( # "You input a wrong audio path that does not exists, please fix it!" # ) # 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) # ) # except Exception as e: # traceback.print_exc() # raise RuntimeError(i18n("音频加载失败")) # return np.frombuffer(out, np.float32).flatten() def clean_path(path_str: str): if path_str.endswith(('\\', '/')): return clean_path(path_str[0:-1]) path_str = path_str.replace('/', os.sep).replace('\\', os.sep) return path_str.strip(" ").strip('\'').strip("\n").strip('"').strip(" ").strip("\u202a")