对批量WAV音频进行等长分割
对WAV格式的音频以相同长度进行分割。
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | import os import wave import numpy as np import pylab as plt import librosa path = r "D:\cutaudio\test" files = os.listdir(path) files = [path + "\\" + f for f in files if f.endswith( '.wav' )] CutTime = 4 #单位长度4s def CutAudios(): for i in range ( len (files)): FileName = files[i] f = wave. open (r"" + FileName, 'rb' ) params = f.getparams() #读取音频文件信息 nchannels, sampwidth, framerate, nframes = params[: 4 ] #声道数, 量化位数, 采样频率, 采样点数 str_data = f.readframes(nframes) f.close() wave_data = np.frombuffer(str_data, dtype = np.short) #根据声道数对音频进行转换 if nchannels > 1 : wave_data.shape = - 1 , 2 wave_data = wave_data.T temp_data = wave_data.T else : wave_data = wave_data.T temp_data = wave_data.T CutFrameNum = framerate * CutTime Cutnum = nframes / CutFrameNum #音频片段数 StepNum = int (CutFrameNum) StepTotalNum = 0 for j in range ( int (Cutnum)): FileName = r "D:\cutaudio\11\\" + 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) # 打开WAV文档 f = wave. open (FileName, 'wb' ) # 配置声道数、量化位数和取样频率 f.setnchannels(nchannels) f.setsampwidth(sampwidth) f.setframerate(framerate) f.writeframes(temp_dataTemp.tostring()) # 将wav_data转换为二进制数据写入文件 f.close() if __name__ = = '__main__' : CutAudios() |
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原文链接:https://blog.csdn.net/vitA_gsm/article/details/99756032