我尝试在python中实现主动降噪。我的项目由两组代码组成：
1.录音码
1.声音过滤码
我的目标是，当你运行程序时，它会通过麦克风开始录音。当你完成录音后，会有一个名为“file1.wav”的保存文件。当你播放这个文件时，它就是你最初录制的文件。当你完成这个操作后，现在，您将通过调用“fltrd”使“file1.wav”通过筛选器（）"。这将在同一文件夹中创建第二个WAV文件，而第二个WAV文件应该是噪音较少/减少的文件。现在我的问题是，第二个wav文件是增强噪音，而不是减少它。有人可以请故障排除我的代码吗？
下面是我的代码：

import pyaudio
import wave
import matplotlib.pyplot as plt
import numpy as np
import scipy.io.wavfile
import scipy.signal as sp

FORMAT = pyaudio.paInt16
CHANNELS = 2
RATE = 44100
CHUNK = 1024
RECORD_SECONDS = 5
WAVE_OUTPUT_FILENAME = "file1.wav"

audio = pyaudio.PyAudio()

# start Recording
stream = audio.open(format=FORMAT, channels=CHANNELS,
                rate=RATE, input=True,
                frames_per_buffer=CHUNK)
print ("recording...")
frames = []

for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):
    data = stream.read(CHUNK)
    frames.append(data)
print ("finished recording")

# stop Recording
stream.stop_stream()
stream.close()
audio.terminate()

waveFile = wave.open(WAVE_OUTPUT_FILENAME, 'wb')
waveFile.setnchannels(CHANNELS)
waveFile.setsampwidth(audio.get_sample_size(FORMAT))
waveFile.setframerate(RATE)
waveFile.writeframes(b''.join(frames))
waveFile.close()

x = scipy.io.wavfile.read('file1.wav')
n = x[1]
y = np.zeros(n.shape)
y = n.cumsum(axis=0)

def fltrd():
    n,x = scipy.io.wavfile.read('file1.wav')
    a2 = x.cumsum(axis=0)
    a3 = np.asarray(a2, dtype = np.int16)
    scipy.io.wavfile.write('file2.wav',n,a3)