下面的人是我的代码。我想从我自己使用随机函数中添加的音频信号中删除噪声。以下代码以某种方式消除了噪音,但我听不到声音仍然太吵了。我还想为此代码添加音频文件,但是在发布问题时我没有找到任何选项,因此您可以添加任何两个通道.wav声音文件。任何评论或提示都会有所帮助。
close all
clear
clc
[x,fs] = audioread('cello.wav');
whos x;
pOrig = audioplayer(x,fs); %Signal Play
pOrig.play;
N = size(x,1);
figure;
subplot(2,1,1);
stem(1:N, x(:,1));
title('Left Channel of Origional signal');
subplot(2,1,2);
stem(1:N, x(:,2));
title('Right Channel of origional signal');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
df = fs/N;
w = (-(N/2):(N/2)-1)*df;
y1= fft(x(:,1),N)/N;
y2 = fftshift(y1);
figure;
plot(w,abs(y2));
title('Fast Fourier Transform of Origional Signal')
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
pause
y=x;
y = y + randn(size(y));
pOrig = audioplayer(y,fs);
pOrig.play;
figure;
subplot(2,1,1);
stem(1:N, y(:,1));
title('Left Channel with Noise');
subplot(2,1,2);
stem(1:N, y(:,2));
title('Right Channel with Noise');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
df = fs/N;
w = (-(N/2):(N/2)-1)*df;
y1= fft(y(:,1),N)/N;
y2 = fftshift(y1);
figure;
plot(w,abs(y2));
title('Fast Fourier Transform of Noisy Signal')
pause
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% filter design
n = 10;
beginFreq = 100 / (fs/2);
endFreq = 2000 / (fs/2);
%[b,a] = butter(n, endFreq, 'low');
%fout = filter(b,a,y); % input y(noisy signal)
[b,a] = butter(n, endFreq, 'low');
fout = filter(b,a,y); % input y(noisy signal)
figure;
subplot(2,1,1);
stem(1:N, fout(:,1));
title('Left channel after filtering');
subplot(2,1,2);
stem(1:N, fout(:,2));
title(' Right channel after filtering');
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%plot(fout);
df = fs/N;
w = (-(N/2):(N/2)-1)*df;
y1= fft(fout(:,1),N)/N;
y2 = fftshift(y1);
figure;
plot(w,abs(y2));
title('Fast Fourier Transform after filtering');
pOrig = audioplayer(fout,fs);
pOrig.play;
您正在使用 randn((函数添加噪声,从而产生高斯噪声,即白色噪声。白噪声在频谱上具有恒定的功率,这意味着您添加0至20kHz的噪声(仅考虑音频频谱(。
您的过滤器是0.1-2 kHz之间的带通滤波器,因此根据我上面指出的内容,在这些频带中您仍然具有噪声组件。从理论上讲,不可能过滤所有噪声组件,但是您可能需要检查Wiener过滤器以获得更好的结果。实际上,如果您知道高斯噪声参数,这是最佳过滤器,这只是噪声的差异。
如果您想查看一个示例来消除所有噪音,则可以在原始信号中添加带外噪声。通过RAND((生成随机序列并使用过滤器使其限制序列,这是可能的。例如,用3-10kHz带通滤波器过滤生成的噪声序列,然后添加到原始音频序列中。最后,在脚本中应用相同的黄油过滤器,以查看所有噪声已被删除。