TY - GEN
T1 - A structured nonnegative matrix factorization for source separation
AU - Laroche, Clement
AU - Kowalski, Matthieu
AU - Papadopoulos, Helene
AU - Richard, Gael
N1 - Publisher Copyright:
© 2015 EURASIP.
PY - 2015/12/22
Y1 - 2015/12/22
N2 - In this paper, we propose a new unconstrained nonnegative matrix factorization method designed to utilize the multilayer structure of audio signals to improve the quality of the source separation. The tonal layer is sparse in frequency and temporally stable, while the transient layer is composed of short term broadband sounds. Our method has a part well suited for tonal extraction which decomposes the signals in sparse orthogonal components, while the transient part is represented by a regular nonnegative matrix factorization decomposition. Experiments on synthetic and real music data in a source separation context show that such decomposition is suitable for audio signal. Compared with three state-of-the-art harmonic/percussive decomposition algorithms, the proposed method shows competitive performances.
AB - In this paper, we propose a new unconstrained nonnegative matrix factorization method designed to utilize the multilayer structure of audio signals to improve the quality of the source separation. The tonal layer is sparse in frequency and temporally stable, while the transient layer is composed of short term broadband sounds. Our method has a part well suited for tonal extraction which decomposes the signals in sparse orthogonal components, while the transient part is represented by a regular nonnegative matrix factorization decomposition. Experiments on synthetic and real music data in a source separation context show that such decomposition is suitable for audio signal. Compared with three state-of-the-art harmonic/percussive decomposition algorithms, the proposed method shows competitive performances.
KW - audio source separation
KW - harmonic/percussive decomposition
KW - nonnegative matrix factorization
KW - projective nonnegative matrix factorization
U2 - 10.1109/EUSIPCO.2015.7362741
DO - 10.1109/EUSIPCO.2015.7362741
M3 - Conference contribution
AN - SCOPUS:84963956595
T3 - 2015 23rd European Signal Processing Conference, EUSIPCO 2015
SP - 2033
EP - 2037
BT - 2015 23rd European Signal Processing Conference, EUSIPCO 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd European Signal Processing Conference, EUSIPCO 2015
Y2 - 31 August 2015 through 4 September 2015
ER -