import pyaudio
import struct
import wave
    
def record(outputFile):
#defining audio variables
    chunk = 1024
    FORMAT = pyaudio.paInt16
    CHANNELS = 1
    RATE = 44100
    Y = 100
    
#Calling pyadio module and starting recording 
    p = pyaudio.PyAudio()

    stream = p.open(format=FORMAT,
                channels=CHANNELS, 
                rate=RATE, 
                input=True,
                frames_per_buffer=chunk)

    stream.start_stream()
    print("Starting!")

#Recording data until under threshold
    frames=[]
    
    while True:
        #Converting chunk data into integers
        data = stream.read(chunk)
        data_int = struct.unpack(str(2*chunk) +'B', data)
        #Finding average intensity per chunk
        avg_data=sum(data_int)/len(data_int)
        print(str(avg_data))
        #Recording chunk data
        frames.append(data)
        if avg_data < Y:
            break
        
#Stopping recording   
    stream.stop_stream()
    stream.close()
    p.terminate()
    print("Ending recording!")
   
    
#Saving file with wave module    
    wf = wave.open(outputFile, 'wb')
    wf.setnchannels(CHANNELS)
    wf.setsampwidth(p.get_sample_size(FORMAT))
    wf.setframerate(RATE)
    wf.writeframes(b''.join(frames))
    wf.close()
    
record('outputFile1.wav')

Quote: google this verbatim: 'use pyaudio to detect motion near microphone'
it should bring you to a place where you can read the section of "Security with Intelligent Computing and Big-Data Services 2019: Proceedings of the 3rd International Conference on Security with Intelligent Computing ... in Intelligent Systems and Computing (1145))"
where something very similar was done to create a motion detector, using pyaudio.
The book costs $220.00, so I expect you want to purchase a copy. But you should be allowed to read the section of interest. (starts on page 296) and shows references.
Find Rep
* Quote Multi-Quote Report