https://github.com/scsd3211/WavCut
WavFileCutWithArgv.py
import sys
import NEWCutWavFile
print(‘Number of arguments:’, len(sys.argv))
print(‘They are:’, str(sys.argv))
print(“First is “,str(sys.argv[1]))
OK = str(sys.argv[1])
if(OK == “OKOK”):
print(“yes”)
NEWCutWavFile.SetFileName(OK)
NEWCutWavFile.CutFile()
print(“Run Over”)
NEWCutWavFile.py
#coding=gbk
import wave
import numpy as np
import pylab as plt
CutTimeDef = 240 #以240ms截断文件
CutFrameNum =0
musicPrimaryName = “庄心妍 – 到不了”
FileName = “.\Music\\”+musicPrimaryName + “.wav”
def SetFileName(WavFileName):
global FileName
print(“SetFileName File Name is “, FileName)
FileName = WavFileName;
def CutFile():
global FileName
print(“CutFile File Name is “,FileName)
# 打开wav文件 ，open返回一个的是一个Wave_read类的实例，通过调用它的方法读取WAV文件的格式和数据。
f = wave.open(r”” + FileName, “rb”)
# 读取格式信息
# 一次性返回所有的WAV文件的格式信息，它返回的是一个组元(tuple)：声道数, 量化位数（byte单位）, 采
# 样频率, 采样点数, 压缩类型, 压缩类型的描述。wave模块只支持非压缩的数据，因此可以忽略最后两个信息
params = f.getparams()
nchannels, sampwidth, framerate, nframes = params[:4]
CutFrameNum = framerate * CutTimeDef / 1000
print(“CutFrameNum=%d” % (CutFrameNum))
print(“nchannels=%d” % (nchannels))
print(“sampwidth=%d” % (sampwidth))
print(“framerate=%d” % (framerate))
print(“nframes=%d” % (nframes))
str_data = f.readframes(nframes)
f.close() # 将波形数据转换成数组
# 需要根据声道数和量化单位，将读取的二进制数据转换为一个可以计算的数组
wave_data = np.fromstring(str_data, dtype=np.short)
wave_data.shape = -1, 2
wave_data = wave_data.T
temp_data = wave_data.T
# StepNum = int(nframes/200)
StepNum = int(CutFrameNum);
StepTotalNum = 0;
haha = 0
while StepTotalNum < nframes:
print(“Stemp=%d” % (haha))
FileName = “.\MusicResult\\” + “0_” + “SampleVoice_” + str(haha) + “.wav”
print(FileName)
temp_dataTemp = temp_data[StepNum * (haha):StepNum * (haha + 1)]
haha = haha + 1;
StepTotalNum = haha * StepNum;
temp_dataTemp.shape = 1, -1
temp_dataTemp = temp_dataTemp.astype(np.short) # 打开WAV文档
f = wave.open(r”” + 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)
# 将wav_data转换为二进制数据写入文件
f.writeframes(temp_dataTemp.tostring())
f.close()
