python中的pyaudio库可以直接通过麦克风录制声音，我们可以通过调用该库，获取到wav测试语音。 具体代码如下所示：

#!/usr/bin/python3
# -*- coding: utf-8 -*-from pyaudio import PyAudio, paInt16
import numpy as np
from datetime import datetime
import waveclass recoder:NUM_SAMPLES = 2000      #pyaudio内置缓冲大小SAMPLING_RATE = 8000    #取样频率LEVEL = 500         #声音保存的阈值COUNT_NUM = 20      #NUM_SAMPLES个取样之内出现COUNT_NUM个大于LEVEL的取样则记录声音SAVE_LENGTH = 8         #声音记录的最小长度：SAVE_LENGTH * NUM_SAMPLES 个取样TIME_COUNT = 60     #录音时间，单位sVoice_String = []def savewav(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.writeframes(self.Voice_String.decode())wf.close() def recoder(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_COUNTwhile True:time_count -= 1# print time_count# 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.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))# 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 -= 1if save_count < 0:save_count = 0 if save_count > 0 : # 将要保存的数据存放到save_buffer中#print  save_count > 0 and time_count >0save_buffer.append( string_audio_data ) else: #print save_buffer# 将save_buffer中的数据写入WAV文件，WAV文件的文件名是保存的时刻#print "debug"if len(save_buffer) > 0 : self.Voice_String = save_buffersave_buffer = [] print("Recode a piece of  voice successfully!")return Trueif time_count==0: if len(save_buffer)>0:self.Voice_String = save_buffersave_buffer = [] print("Recode a piece of  voice successfully!")return Trueelse:return Falseif __name__ == "__main__":r = recoder()r.recoder()r.savewav("test.wav")