pyaudio recoder from microphone

gistfile1.py

# -*- coding: utf-8 -*-
from pyaudio import PyAudio, paInt16 
import numpy as np 
from datetime import datetime 
import wave 


# 将data中的数据保存到名为filename的WAV文件中
def save_wave_file(filename, data): 
    wf = wave.open(filename, 'wb') 
    wf.setnchannels(1) 
    wf.setsampwidth(2) 
    wf.setframerate(SAMPLING_RATE) 
    wf.writeframes("".join(data)) 
    wf.close() 



NUM_SAMPLES = 2000      # pyAudio内部缓存的块的大小
SAMPLING_RATE = 8000    # 取样频率
LEVEL = 1500            # 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

# 开启声音输入
pa = PyAudio() 
stream = pa.open(format=paInt16, channels=1, rate=SAMPLING_RATE, input=True, 
                frames_per_buffer=NUM_SAMPLES) 

save_count = 0 
save_buffer = [] 

while True: 
    # 读入NUM_SAMPLES个取样
    string_audio_data = stream.read(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 ]]> 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 ]]> COUNT_NUM: 
        save_count = SAVE_LENGTH 
    else: 
        save_count -= 1 

    if save_count < 0: 
        save_count = 0 

    if save_count ]]> 0: 
        # 将要保存的数据存放到save_buffer中
        save_buffer.append( string_audio_data ) 
    else: 
        # 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
        if len(save_buffer) ]]> 0: 
            filename = datetime.now().strftime("%Y-%m-%d_%H_%M_%S") + ".wav" 
            save_wave_file(filename, save_buffer) 
            save_buffer = []              print filename, "saved"