counting the number of frequency in wav file

hi, i would like to count the number of frequency on my sample audio file. it is a recorded drum audio file which contain 8 beat of kick pedal in 7 seconds. so the problem is, how to make a simulation to count the number of kick pedal in this audio file (.wav)
here are my .wav file
[y,fs]=audioread('C:\Users\Faiz\Desktop\Kick.wav');
t=linspace(0,length(y)/fs,length(y));
plot (t,y)

7 Comments

Did you try to attach the file? What do you mean by "simulation"? What does "number of kick pedal" mean - the number of different pedals or the number of hits? What is "number of frequency"? A kick pedal produces a spectrum of frequencies. The number of different frequencies you find in the signal depends on the resolution of the data acquisition. Most likely you will find an amplitude for each signal, which is allowed by the Nyquist theorem and the block width of the FFT analysis.
Pleas edit the question and add more details.
yes sir, i already upload the file as you can see on my question, i provide the coding.i use the same pedals, so it is the number of hits. so how to identified the number of kick pedal hits from my audio file?

"Upload" would mean, that you have posted the file in this forum such that the readers can try to solve the problem by their own.

You could calculate the RMS (root mean square) of the signal and call findpeaks to determine the number of peaks.

sorry sir, here are the file. so as you can see at the graph, i want to calculate the number of hits for the kick pedal. so i need to count the number of amplitude, for example the number of amplitude is 8.
From your figure, the approach suggested by Jan seems adequate.
sorry sir, but i dont understand ? why is it need to calculate the rms value ? and what is the relationship between rms value and findpeaks ? i do found the coding of the findpeaks which is numel(findpeaks(your_signal)) but it didn't works on my work. and i don't understand what is the "(your_signal)"should be ? is it .wav file or what ?
@faiz hazizi: Remember that a diagram without labels does not explain anything. What do the two diagram represent?
The original signal has positive and negative values. You are not interested in the maximum value, but in the maximum amplitude. This can be positive or negative. Using abs helps to move all values to the positive side. If you have a single signal (mono sound), this is exactly the same as RMS: The mean of a scalar is the scalar, and Root of Squared value makes the sign positive. For a stereo signal, RMS considers both channels.
There is no "relationship" between RMS and findpeaks. The first one converts the signal to do what you want, the second one finds the peaks.
"your_signal" is the "y" in your code: The variable in which the audio signal is stored.

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 Accepted Answer

[y, fs] = audioread('C:\Users\Faiz\Desktop\Kick.wav');
yRMS = sqrt(sum(y .^ 2, 2)); % Root mean square, same as abs(y) for mono signal
[pk, loc] = findpeaks(yRMS, 'MinPeakHeight', std(yRMS));
See doc findpeaks for more methods.

1 Comment

thank you sir, appreciate that, i'll try run the program first. if there's is any in problem regarding to this program i'll ask again sir, thank you

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More Answers (1)

A possible workflow:
%compute the envelope of y (your signal)
%assuming it's mono, and adjust the second
%parameter of the envelope function with
%successive plots of myEnv
[myEnv, ~] = envelope(y, 3000, 'peak');
%apply findpeaks, and adjust 'MinPeakProminence'
%to your needs
[pk, loc] = findpeaks(myEnv, 'MinPeakProminence', .5);
%get the number of peaks
nbPk = length(pk);

6 Comments

hi, thank you for the command, however after i run the program it has an error. how can i fix this problem ?
Which MATLAB version are you using? Earlier versions of findpeaks did not expect that option.
Are you sure your audio is mono? If this is not the case, you should do this instead:
[myEnv, ~] = envelope(y(:,1), 3000, 'peak');
i'm not sure either my audio is mono or what. actually my audio file was a recorded kick pedal sound. is it a mono type audio? and currently i'm using matlab 2016b.
If you do
size(y)
And the second output says 2, then your audio is stereo; if it says 1, your audio is mono.
@faiz: "Mono" means, that the sound has been recorded with 1 channel. "Stereo" uses 2 channels, and needs 2 microphones. Ask WikiPedia for details.
If a sound is recorded with 2 channels, the output of audioread must have two columns also. See: doc audioread.

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