使用 python的高通和低通滤波器-码文网

我的意思是每当我在电脑上播放任何音频时，我都希望低通滤波器实时过滤音频，并在音频放大器的左声道（我的低音炮）上传递该音频，高通滤波器将音频传递到我的音频放大器的右声道（高音扬声器）并同时在左右声道上播放它们。

我成功地使用 Python 创建了一个高通滤波器，但它在两个通道上播放，并且在播放之前必须将其保存到 wav。我希望它从我的计算机的音频中实时获取音频，然后将其实时转换为相应的右或左音频通道。

这是我在 stackoverflow 上找到的高通滤波器的代码：

import matplotlib.pyplot as plt
import numpy as np
import wave
import sys
import math
import conteib
fname = 'Lil Nas X  Industry Baby Lyrics ft Jack Harlow.wav'
outname = 'filtered.wav'
cutOffFrequency = 400.0
def running_mean(x, windowSize):
  um = np.um(np.insert(x, 0, 0)) 
  return (um[windowSize:] - um[:-windowSize]) / windowSize
def interpret_wav(raw_bytes, n_frames, n_channels, sample_width, interleaved = True):
    if sample_width == 1:
        dtype = np.uint8 # unsigned char
    elif sample_width == 2:
        dtype = np.int16 # signed 2-byte short
    else:
        raise ValueError("Only supports 8 and 16 bit audio formats.")
    channels = np.fromstring(raw_bytes, dtype=dtype)
    if interleaved:
        # channels are interleaved, i.e. sample N of channel M follows sample N of channel M-1 in raw data
        channels.shape = (n_frames, n_channels)
        channels = channels.T
    else:
        # channels are not interleaved. All samples from channel M occur before all samples from channel M-1
        channels.shape = (n_channels, n_frames)
    return channels
with conteib.closing(wave.open(fname,'rb')) as spf:
    sampleRate = spf.getframerate()
    ampWidth = spf.getsampwidth()
    nChannels = spf.getnchannels()
    nFrames = spf.getnframes()
    signal = spf.readframes(nFrames*nChannels)
    spf.close()
    channels = interpret_wav(signal, nFrames, nChannels, ampWidth, True)
    freqRatio = (cutOffFrequency/sampleRate)
    N = int(math.sqrt(0.196196 + freqRatio**2)/freqRatio)
    filtered = running_mean(channels[0], N).astype(channels.dtype)
    wav_file = wave.open(outname, "w")
    wav_file.setparams((1, ampWidth, sampleRate, nFrames, spf.getcomptype(), spf.getcompname()))
    wav_file.writeframes(filtered.tobytes('C'))
    wav_file.close()

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