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audio_course_project

Project done as part of Audio Processing course at Tampere University.

Topic was separation of harmonic and percussive elements according to paper SEPARATION OF A MONAURAL AUDIO SIGNAL INTO HARMONIC/PERCUSSIVE COMPONENTS BY COMPLEMENTARY DIFFUSION ON SPECTROGRAM. Ono, N., Miyamoto, K., Le Roux, J., Kameoka, H., & Sagayama, S. (2008, August).

So the goal was to create a program, which would separate drums from an audio track. The best performance was evaluated with k = 20, alpha = 0.3 and gamma = 0.3.

Biggest challenge was getting started with the algorithm, and once it was done it needed a bit of optimization with initial runs of 6 minute song taking 15 minutes. I managed to reduce it to 1/100 of the initial length, to a whopping 9 seconds.

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Project done as part of Audio Processing course at Tampere University. Topic was separation of harmonic and percussive elements according to paper EPARATION OF A MONAURAL AUDIO SIGNAL INTO HARMONIC/PERCUSSIVE COMPONENTS BY COMPLEMENTARY DIFFUSION ON SPECTROGRAM by Nobutaka Ono, Kenichi Miyamoto, Jonathan Le Roux, Hirokazu Kameoka, and Shigeki Sa…

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