Jun-13-2020, 01:16 AM
Heads up, this is my first real programming project, but I'm really dedicated to making it work and would love some input.
I've written a program to attempt to record sound using Pyaudio and then halt the recording once the sound intensity has dropped under a certain threshold. To do this, I took the audio data, turned it into integer data, averaged the chunks of data collected by the program, and then set the program to halt after it dropped below a threshold that I picked after some trial and error. The issue is that, the averages of the data clusters don't seem to actually correlate to the intensity of the audio input, and it sometimes drops below the threshold and halts recording even when there is significant input (eg, constant music playing). Below is the code:
I've written a program to attempt to record sound using Pyaudio and then halt the recording once the sound intensity has dropped under a certain threshold. To do this, I took the audio data, turned it into integer data, averaged the chunks of data collected by the program, and then set the program to halt after it dropped below a threshold that I picked after some trial and error. The issue is that, the averages of the data clusters don't seem to actually correlate to the intensity of the audio input, and it sometimes drops below the threshold and halts recording even when there is significant input (eg, constant music playing). Below is the code:
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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' ) |