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Voice data acquisition - real time voice data visualization

2022-07-27 10:22:00 【User 9925864】

1、 Installation dependency 

pip install pyaudio
pip install pylab

2、 Voice data display 

import pyaudio
import numpy as np

CHUNK = 4096 #  The number of data points collected each time 
RATE = 44100 #  sampling frequency 

p=pyaudio.PyAudio() #  Start class 
stream=p.open(format=pyaudio.paInt16,channels=1,rate=RATE,input=True,
              frames_per_buffer=CHUNK) # input device 

#  Create a numpy To save the data collected each time 
for i in range(10): #
    data = np.fromstring(stream.read(CHUNK),dtype=np.int16)
    print(data)

#  Close the audio capture stream 
stream.stop_stream()
stream.close()
p.terminate()

3、 Sound waveform visualization

First collect data , Then save as a picture , Create a new page , Display the wave chart on the web 

import pyaudio
import numpy as np
import pylab
import time

RATE = 44100
CHUNK = int(RATE/20) 

def soundplot(stream):
    t1=time.time()
    data = np.fromstring(stream.read(CHUNK),dtype=np.int16)
    pylab.plot(data)
    pylab.title(i)
    pylab.grid()
    pylab.axis([0,len(data),-2**16/2,2**16/2])
    pylab.savefig("03.png",dpi=50)
    pylab.close('all')
    print("took %.02f ms"%((time.time()-t1)*1000))

if __name__=="__main__":
    p=pyaudio.PyAudio()
    stream=p.open(format=pyaudio.paInt16,channels=1,rate=RATE,input=True,
                  frames_per_buffer=CHUNK)
    for i in range(int(20*RATE/CHUNK)): # continued 10s
        soundplot(stream)
    stream.stop_stream()
    stream.close()
    p.terminate()

Web page code 

<html>
<script language="javascript">
function RefreshImage(){
document.pic0.src="03.png?a=" + String(Math.random()*99999999);
setTimeout('RefreshImage()',50);
}
</script>
<body onload="RefreshImage()">
<img name="pic0" src="03.png">
</body>
</html>

The effect is as shown in the picture

原网站

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