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.
Tasks in mind:
Record audio input on a n% gate threshold
stop recording after so many seconds of silence
keep recording for so many seconds after audio
Phase 2: input data into MySQL database to search the recordings
I am looking at a file structure of the similar
/home/Recodings/2013/8/23/12-33.wav would be a recording of the transmision on 23/08/2013 @ 12:33.wav
I have used the code from
Detect and record a sound with python
I am at a bit of a loss where to go from here now and a little guidance would be greatly appreciated
thank you
There is no single library/solution in python to do video/audio recording simultaneously. You have to implement both separately and merge the audio and video signal in a smart way to end up with a video/audio file.
The current top answer is a bit outdated and only works for python 2. Here is a version updated for python 3. It wraps the functions into classes and packages everything into one simple easy-to-use version. Note that there is one key difference between the top answer and my script:
The script at the top records for one file and then stops, while my script keeps recording whenever noise is detected and dumps the recordings into a directory as it goes.
The main idea for both scripts are pretty similar:
Step 1: 'Listen' until rms becomes greater than the threshold
Step 2: Start recording, set a timer for when to stop recording, == TIMEOUT_LENGTH
Step 3: If the rms breaks threshold again before the timer times out reset the timer
Step 4: Now that the timer is expired, write the recording to a directory and go back to step 1
import pyaudio
import math
import struct
import wave
import time
import os
Threshold = 10
SHORT_NORMALIZE = (1.0/32768.0)
chunk = 1024
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 16000
swidth = 2
TIMEOUT_LENGTH = 5
f_name_directory = r'C:\Users\Jason\PyCharmProjects\AutoRecorder\records'
class Recorder:
@staticmethod
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 __init__(self):
self.p = pyaudio.PyAudio()
self.stream = self.p.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True,
output=True,
frames_per_buffer=chunk)
def record(self):
print('Noise detected, recording beginning')
rec = []
current = time.time()
end = time.time() + TIMEOUT_LENGTH
while current <= end:
data = self.stream.read(chunk)
if self.rms(data) >= Threshold: end = time.time() + TIMEOUT_LENGTH
current = time.time()
rec.append(data)
self.write(b''.join(rec))
def write(self, recording):
n_files = len(os.listdir(f_name_directory))
filename = os.path.join(f_name_directory, '{}.wav'.format(n_files))
wf = wave.open(filename, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(self.p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(recording)
wf.close()
print('Written to file: {}'.format(filename))
print('Returning to listening')
def listen(self):
print('Listening beginning')
while True:
input = self.stream.read(chunk)
rms_val = self.rms(input)
if rms_val > Threshold:
self.record()
a = Recorder()
a.listen()
Some time ago I wrote some of the steps
Record audio input on a n% gate threshold
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
stop recording after so many seconds of silence
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)
keep recording for so many seconds after audio
A: If Silence is false == (RMS > Threshold) get the last chunk of data of audio (LastBlock) and just keep record :-)
Phase 2: input data into MySQL database to search the recordings
A: This step is up to you
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)
# short is 16 bit int
shorts = struct.unpack( format, frame )
sum_squares = 0.0
for sample in shorts:
n = sample * SHORT_NORMALIZE
sum_squares += n*n
# compute the rms
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)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With