Implementation of a Beats Per Minute (BPM) detection algorithm, as presented in the paper of G. Tzanetakis, G. Essl and P. Cook titled: "Audio Analysis using the Discrete Wavelet Transform".
You can find it here: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.5712
Select the .wav file you want to analyze and pass it as an input argument in bpm_detection function as follows:
myfile = 'file.wav'; [final_signal,correl,estBPM,cd] = bpm_detection(myfile)
The above code should be executed in matlab's command line.
final_signal: the signal after the Discrete Wavelet Transform
correl: Auto-correlation function's coefficients of the summed signal
estBPM: the BMP of the input signal
cd: The details coefficients of each level of DWT decomposition
Or you can use a shorter version, printing out only the BPM.
myfile = 'file.wav'; [estBPM] = bpm_detection(myfile)
In order to achieve that, change the first line of the code in order to look like this: function [estBPM]=bpm_detection(s)