python - 如何从实时应用程序中检测特定声音？

Question

有没有办法从应用程序(例如chrome，mozilla)收集实时音频并执行一些代码
当网站上播放特定声音时？

Answer 1

如果您在使用的任何设备上都有麦克风，则可以使用它来读取计算机发出的任何声音。然后，您可以将要录制的音频帧与所需声音的声音文件进行比较

当然，这使它很容易受到背景噪声的影响，因此您将不得不以某种方式将其过滤掉。

这是使用PyAudio和wave库的示例:

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()