如果您在使用的任何設備上都有麥克風，則可以使用它來讀取從計算機發出的任何聲音。然后，您可以將要錄制的音頻幀與要查找的聲音的聲音文件進行比較

當然，這使得它非常容易受到背景噪音的影響，因此不知何故，您將不得不將其過濾掉。

下面是使用 PyAudio 和 wave 庫的示例：

import pyaudio

import wave

wf = wave.open("websitSound.wav", "rb")

amountFrames = 100 # just an arbitrary number; could be anything

sframes = wf.readframes(amountFrames)

currentSoundFrame = 0

chunk = 1024  # Record in chunks of 1024 samples

sample_format = pyaudio.paInt16  # 16 bits per sample

channels = 2

fs = 44100  # Record at 44100 samples per second

seconds = 3

p = pyaudio.PyAudio()  # Create an interface to PortAudio

stream = p.open(format=sample_format,

                channels=channels,

                rate=fs,

                frames_per_buffer=chunk,

                input=True)

# Store data in chunks for 3 seconds

for i in range(0, int(fs / chunk * seconds)):

    data = stream.read(chunk)

    if data == sframes[currentSoundFrame]:

        currentSoundFrame += 1

        if currentSoundFrame == len(sframes): #the whole entire sound was played

            print("Sound was played!")

    frames.append(data)

# Stop and close the stream 

stream.stop_stream()

stream.close()

# Terminate the PortAudio interface

p.terminate()