In recent years, harmonic-percussive source separation methods are gaining importance because of their potential applications in many music information retrieval tasks. The goal of the decomposition methods is to achieve near real-time separation, distortion and artifact free component spectrograms and their equivalent time domain signals for potential music applications. In this paper, we propose a decomposition method based on filtering/suppressing the impulsive interference of percussive source on the harmonic components and impulsive interference of the harmonic source on the percussive components by modified moving average filter in the Fourier frequency domain. The significant advantage of the proposed method is that it minimizes the artifacts in the separated signal spectrograms. In this work, we have proposed Affine and Gain masking methods to separate the harmonic and percussive components to achieve minimal spectral leakage. The objective measures and separated spectrograms showed that the proposed method is better than the existing rank-order filtering based harmonic-percussive separation methods.
Cite as: M, G.R., Rao, K.S., Das, P.P. (2018) Harmonic-Percussive Source Separation of Polyphonic Music by Suppressing Impulsive Noise Events. Proc. Interspeech 2018, 831-835, doi: 10.21437/Interspeech.2018-1310
@inproceedings{m18c_interspeech,
author={Gurunath Reddy M and K. Sreenivasa Rao and Partha Pratim Das},
title={{Harmonic-Percussive Source Separation of Polyphonic Music by Suppressing Impulsive Noise Events}},
year=2018,
booktitle={Proc. Interspeech 2018},
pages={831--835},
doi={10.21437/Interspeech.2018-1310}
}