對批量WAV音頻進行等長分割

對WAV格式的音頻以相同長度進行分割。

import osimport waveimport numpy as npimport pylab as pltimport librosapath = r'D:cutaudiotest'files = os.listdir(path)files = [path + '' + f for f in files if f.endswith(’.wav’)]CutTime = 4 #單位長度4sdef CutAudios(): for i in range(len(files)): FileName = files[i] f = wave.open(r'' + FileName, ’rb’) params = f.getparams() #讀取音頻文件信息 nchannels, sampwidth, framerate, nframes = params[:4] #聲道數, 量化位數, 采樣頻率, 采樣點數 str_data = f.readframes(nframes) f.close() wave_data = np.frombuffer(str_data, dtype=np.short) #根據聲道數對音頻進行轉換 if nchannels > 1:wave_data.shape = -1, 2wave_data = wave_data.Ttemp_data = wave_data.T else:wave_data = wave_data.Ttemp_data = wave_data.T CutFrameNum = framerate * CutTime Cutnum =nframes/CutFrameNum #音頻片段數 StepNum = int(CutFrameNum) StepTotalNum = 0 for j in range(int(Cutnum)): FileName = r'D:cutaudio11' + files[i][-17:-4] +'-'+ str(j) + '.wav' temp_dataTemp = temp_data[StepNum * (j):StepNum * (j + 1)] StepTotalNum = (j + 1) * StepNum temp_dataTemp.shape = 1, -1 temp_dataTemp = temp_dataTemp.astype(np.short)# 打開WAV文檔 f = wave.open(FileName, ’wb’) # 配置聲道數、量化位數和取樣頻率 f.setnchannels(nchannels) f.setsampwidth(sampwidth) f.setframerate(framerate) f.writeframes(temp_dataTemp.tostring()) # 將wav_data轉換為二進制數據寫入文件 f.close() if __name__ == ’__main__’ : CutAudios()

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