# @File : sound_cut.py
# @Author: Wang Zhimin
# @Date : 2019/10/12
import os
import wave
import numpy as np
import pylab as plt
def load_wav(path):
"""
功能:讀取檔案夾下wav檔案,進行2s剪切
輸入:檔案夾路徑
輸出:歸一化後的資料
時間:2019年10月12日
版本:V1.0
"""
files = []
# 讀檔案
for f in os.listdir(path):
if not f.startswith('.') and f.endswith('.wav'):
files.append(f)
# 多通道處理,以及采樣頻率歸一化
# print(files)
for f in files:
w = wave.open(path+"/"+f, "rb")
params = w.getparams()
nchannels, sampwidth, framerate, nframes = params[:4]
nums=int(nframes / (framerate * 2)) + 1
# print("片段個數:",nums)
# print("framerate",framerate)
# print("nchannels", nchannels)
# print("sampwidth", sampwidth)
# print("nframes", nframes)
str_data = w.readframes(nframes)
wave_data = np.fromstring(str_data, dtype=np.short)
for i in np.arange(nums):
print((i * 2) * framerate, (i * 2 + 2) * framerate)
# str_data1 = wave_data[0:2*framerate]
str_data1 = wave_data[(i * 2) * framerate:(i * 2 + 2) * framerate]
w.close()
# 打開WAV文檔
f1 = wave.open(r"D:/work/音頻剪切原始資料/" +str(i+1)+"-"+ f, "wb")
# 配置聲道數、量化位數和取樣頻率
f1.setnchannels(nchannels)
f1.setsampwidth(sampwidth)
f1.setframerate(framerate)
# 将wav_data轉換為二進制資料寫入檔案
f1.writeframes(str_data1.tostring())
# print(len(str_data1))
# f1.close()
# print(f)
return 0
if __name__ == '__main__' :
load_wav("D:/work/音頻原始資料")