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recorder.py
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#!/usr/bin/python3
# -*- coding: utf-8 -*-
from pyaudio import PyAudio, paInt16
import numpy as np
import wave
class Recoder:
NUM_SAMPLES = 2000 # py audio内置缓冲大小
SAMPLING_RATE = 16000 # 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 = 20 # 录音时间,单位s
Voice_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_COUNT
while 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 -= 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
# print save_count > 0 and time_count >0
save_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_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
def recording():
r = Recoder()
r.recoder()
r.savewav(r"E:\Python_Doc\voice_say\say_voice.wav")
# if tsayTime != '':
# stop_thread(tsayTime)