This example uses maximum amplitude of the sound to detect noise using python.
The same concept can be used to plot your amplitudes,
sox.sh
#!/bin/sh
filename=$1
duration=$2
arecord -q -f cd -d $duration -t raw | lame -r - $filename
sox $filename -n stat 2>&1 | sed -n 's#^Maximum amplitude:[^0-9]*\([0-9.]*\)$#\1#p'
soundcapture.py
#!/usr/bin/env python
#-*- coding: utf-8 -*-
import os
import subprocess
import sys
import re
import time
def main(args=None):
try:
while True:
filename = time.strftime("%Y%m%d%H%M%S") + ".wav"
proc = subprocess.Popen(['sh','sox.sh', filename, '5' ], stdout=subprocess.PIPE)
result,errors = proc.communicate()
amplitude=float(result)
print amplitude
if amplitude > 0.15:
print 'Sound detected'
#os.rename(filename, "data/" + filename)
else:
print 'No sound detected'
#os.remove(filename)
except KeyboardInterrupt:
print('')
finally:
print('Program over')
if __name__ == '__main__':
sys.exit(main(sys.argv[1:]) or 0)
Please checkout its github page for more details.