Python 在音频信号中应用高通滤波器

Python 在音频信号中应用高通滤波器,python,filter,signal-processing,highpass-filter,Python,Filter,Signal Processing,Highpass Filter,我想在我的音频文件中实现高通滤波器,以滤除低于6kHz的任何信号。代码如下: def butter_highpass(cutoff, fs, order=5): nyq = 0.5 * fs normal_cutoff = cutoff / nyq b, a = signal.butter(order, normal_cutoff, btype='high', analog=False) return b, a def butter_highpass_filt

我想在我的音频文件中实现高通滤波器,以滤除低于6kHz的任何信号。代码如下:

def butter_highpass(cutoff, fs, order=5):
    nyq = 0.5 * fs
    normal_cutoff = cutoff / nyq
    b, a = signal.butter(order, normal_cutoff, btype='high', analog=False)
    return b, a


def butter_highpass_filter(data, cutoff, fs, order=5):
    b, a = butter_highpass(cutoff, fs, order=order)
    y = signal.filtfilt(b, a, data)
    return y


(fs,rate)=wav.read('2020_09_02-21_21_16_51.wav')
y=butter_highpass_filter(rate,6000, fs, order=5)
plt.figure(3)
frequencies, times, spectrogram = 
signal.spectrogram(rate,fs)
plt.pcolormesh(times, frequencies, spectrogram)
plt.ylabel('Frequency [Hz]')
plt.xlabel('Time [sec]')
plt.show()

但是,结果输出不正确,即应在6kHz以下移除信号分量,相反,它们仍然处于活动状态,并更改为从kHz开始

是我错了还是您正在绘制原始的
fs
速率
?过滤后的
y
是什么样子的?是我错了还是你在绘制原始
fs
速率
?过滤后的
y
外观如何?