How to find spectrum envelope from wav file

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How do I measure the energy change of the spectrum envelope 20 - 40 hz from from a wav file and plot it to graph? my recording is in 8000 sampling rate 16bits mono.
I would like to get something like this
Thanks for great help, wish you all merry Christmas and happy new year :)
  1 个评论
Image Analyst
Image Analyst 2014-12-28
编辑:Image Analyst 2014-12-28
Daemian, perhaps you overlooked this big hint given in Star's answer "I don’t have your signal, so I can’t test the filter I designed for you with it." HINT, HINT. What do you think you should do now?
Also, please read this.


回答(2 个)

Star Strider
Star Strider 2014-12-26
If you have the Signal Processing Toolbox, such a bandpass filter is easy to design. First (to make things easier) convert your 16-bit signed integer signal (that I call ‘x’ here) to double:
xd = double(x); % Convert to ‘double’
Fs = 8000; % Sampling Frequency
Fn = Fs/2; % Nyquist Frequency
Fpb = [20 40]/Fn; % Passband
Fsb = [15 50]/Fn; % Stopband
[n,Wn] = buttord(Fpb, Fsb, 1, 10); % Filter Order, With Rp = 1, Rs = 10
[b,a] = butter(n,Wn); % Create Filter Transfer Function
[sos,g] = tf2sos(b,a); % Second-Order-Section Implementation
freqz(b,a) % Transfer Function Plot
figure(2) % Second-Order-Section Plot
yd = filtfilt(sos, g, xd); % Filter ‘xd’ To Get ‘y’
where ‘xd’ is your .wav signal and ‘yd’ is the filtered output. The filtfilt function will filter both channels of your signal at the same time (assuming your mono signal could have two channels, with the same information in both channels), so this code will work regardless of its having 1 or 2 channels. You can then change ‘yd’ to 16-bits with the int16 function if you want to.
Have fun with this!
Merry Christmas (belatedly) and happy New Year to you, too!
  15 个评论
Daemian 2015-1-9
Hey Star Strider, I found this pdf talking about spectral envelopes I not too sure is it helpful, can you help me take a look?


Youssef  Khmou
Youssef Khmou 2014-12-28
编辑:Youssef Khmou 2014-12-28
Hilbert Transformation is used to obtain the envelope of signal, here is an example :
The envelope is decreasing exponential,
figure; plot(t,x);
hold on;
fx=fftshift(abs(fft(x))); fx=fx(floor(end/2:end));
fY=fftshift(abs(fft(Y))); fY=fY(floor(end/2:end));
figure; plot(fx); hold on
  2 个评论
Youssef  Khmou
Youssef Khmou 2014-12-30
编辑:Youssef Khmou 2014-12-30
According to theory yes, oscillation in borders can be interpreted as Gibbs effect.


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