对检测出的声音Python的录制音频 [英] Python record audio on detected sound
问题描述
我期待在后台运行一个python脚本，并使用pyaudio录制的声音文件时，麦克风的门槛已经达到了一定点。这是一个双向无线电网络上的监视器。所以因此我们只希望录制的音频传送。
I am looking to have a python script run in the background and use pyaudio to record sound files when the threshold of the microphone has reached a certain point. This is for a monitor on a two way radio network. So hence we only want to record transmitted audio.
记住任务：
-
在N％栅极阈值录制音频输入
Record audio input on a n% gate threshold
沉默这么多秒后停止录制
stop recording after so many seconds of silence
保持音频录音后，这么多秒。
keep recording for so many seconds after audio
第2阶段：输入数据到MySQL数据库搜索记录
Phase 2: input data into MySQL database to search the recordings
我在看类似的文件结构
/home/Recodings/2013/8/23/12-33.wav将是transmision的记录上23/08/2013 @ 12：33.wav
/home/Recodings/2013/8/23/12-33.wav would be a recording of the transmision on 23/08/2013 @ 12:33.wav
我已经使用了code从
I have used the code from
检测和记录与Python 完善
我是有点茫然的从这里到现在，去和一点点指导将大大AP preciated
I am at a bit of a loss where to go from here now and a little guidance would be greatly appreciated
感谢您
推荐答案
前一段时间我写了一些步骤
Some time ago I wrote some of the steps
-
在N％栅极阈值录制音频输入
Record audio input on a n% gate threshold
答：启动布尔变量类型沉默，你可以计算 RMS 来决定，如果沉默是真还是假假的，组一个RMS阈值
A: Start a Boolean variable type for "Silence" and you can calculate RMS to decide if Silence is true or False, Set one RMS Threshold
-
停止沉默这么多秒后录制
stop recording after so many seconds of silence
A：你需要计算一个超时，因为它得到你想要的帧速率，块大小和多少秒呢，来计算你的超时时间，（帧率/块* Max_Seconds）
A: Do you need calculate one timeout, for it get the Frame Rate, Chunk Size and how many seconds do you want, to calculate your timeout make (FrameRate / chunk * Max_Seconds)
-
保持音频录音后，这么多秒
keep recording for so many seconds after audio
答：如果沉默是假的==（RMS>阈值）获得音频数据的最后一块（LastBlock），并只保留记录:-)
A: If Silence is false == (RMS > Threshold) get the last chunk of data of audio (LastBlock) and just keep record :-)
-
第2阶段：输入数据到MySQL数据库搜索记录
Phase 2: input data into MySQL database to search the recordings
答：这一步是给你
来源$ C $ C：
Source code:
import pyaudio
import math
import struct
import wave
#Assuming Energy threshold upper than 30 dB
Threshold = 30
SHORT_NORMALIZE = (1.0/32768.0)
chunk = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
swidth = 2
Max_Seconds = 10
TimeoutSignal=((RATE / chunk * Max_Seconds) + 2)
silence = True
FileNameTmp = '/home/Recodings/2013/8/23/12-33.wav'
Time=0
all =[]
def GetStream(chunk):
return stream.read(chunk)
def rms(frame):
count = len(frame)/swidth
format = "%dh"%(count)
shorts = struct.unpack( format, frame )
sum_squares = 0.0
for sample in shorts:
n = sample * SHORT_NORMALIZE
sum_squares += n*n
rms = math.pow(sum_squares/count,0.5);
return rms * 1000
def WriteSpeech(WriteData):
stream.stop_stream()
stream.close()
p.terminate()
wf = wave.open(FileNameTmp, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(WriteData)
wf.close()
def KeepRecord(TimeoutSignal, LastBlock):
all.append(LastBlock)
for i in range(0, TimeoutSignal):
try:
data = GetStream(chunk)
except:
continue
#I chage here (new Ident)
all.append(data)
print "end record after timeout";
data = ''.join(all)
print "write to File";
WriteSpeech(data)
silence = True
Time=0
listen(silence,Time)
def listen(silence,Time):
print "waiting for Speech"
while silence:
try:
input = GetStream(chunk)
except:
continue
rms_value = rms(input)
if (rms_value > Threshold):
silence=False
LastBlock=input
print "hello ederwander I'm Recording...."
KeepRecord(TimeoutSignal, LastBlock)
Time = Time + 1
if (Time > TimeoutSignal):
print "Time Out No Speech Detected"
sys.exit()
p = pyaudio.PyAudio()
stream = p.open(format = FORMAT,
channels = CHANNELS,
rate = RATE,
input = True,
output = True,
frames_per_buffer = chunk)
listen(silence,Time)
这篇关于对检测出的声音Python的录制音频的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！
