python 通过麦克风录音 生成wav文件的方法

 #!/usr/bin/env python # -*- coding: utf-8 -*- ######################################################################## #  # Copyright (c) 2017 aibot.me, Inc. All Rights Reserved #  ########################################################################   """ File: gen_wav.py Date: 2017/03/24 12:36:27 Brief: 通过麦克风录音 生成 wav文件 """ import os import sys import wave import numpy as np  from datetime import datetime from pyaudio import PyAudio, paInt16 class GenAudio(object):     def __init__(self):         self.num_samples = 2000    #pyaudio内置缓冲大小         self.sampling_rate = 8000  #取样频率         self.level = 1500          #声音保存的阈值         self.count_num = 20        #count_num个取样之内出现COUNT_NUM个大于LEVEL的取样则记录声音         self.save_length = 8       #声音记录的最小长度：save_length * num_samples 个取样         self.time_count = 8        #录音时间，单位s         self.voice_string = []          #保存文件     def save_wav(self, filename):         wf = wave.open(filename, 'wb')          wf.setnchannels(1)          wf.setsampwidth(2)          wf.setframerate(self.sampling_rate)          wf.writeframes(np.array(self.voice_string).tostring())         wf.close()               def read_audio(self):         pa = PyAudio()          stream = pa.open(format=paInt16, channels=1, rate=self.sampling_rate, input=True,                  frames_per_buffer=self.num_samples)                   save_count = 0         save_buffer = []          time_count = self.time_count         while True:             time_count -= 1                          # 读入num_samples个取样             string_audio_data = stream.read(self.num_samples)                  # 将读入的数据转换为数组             audio_data = np.fromstring(string_audio_data, dtype = np<b style="color:transparent">来源gao@!dai!ma.com搞$$代^@码!网</b>.short)             #计算大于 level 的取样的个数             large_sample_count = np.sum(audio_data > self.level)                          print(np.max(audio_data)),  "large_sample_count=>", large_sample_count             # 如果个数大于COUNT_NUM，则至少保存SAVE_LENGTH个块             if large_sample_count > self.count_num:                 save_count = self.save_length             else:                  save_count -= 1             if save_count  0:                 save_buffer.append(string_audio_data)             else:                 if len(save_buffer) > 0:                     self.voice_string = save_buffer                     save_buffer = []                      print("Recode a piece of  voice successfully!")                     return True                          if time_count == 0:                  if len(save_buffer) > 0:                     self.voice_string = save_buffer                     save_buffer = []                     print("Recode a piece of  voice successfully!")                     return True                 else:                     return False         return True if __name__ == "__main__":     r = GenAudio()     r.read_audio()     r.save_wav("./test.wav")