TY - GEN
T1 - Blind signal decompositions for automatic transcription of polyphonic music
T2 - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
AU - Bertin, Nancy
AU - Badeau, Roland
AU - Richard, Gaël
PY - 2007/8/6
Y1 - 2007/8/6
N2 - This paper investigates on the behavior of two blind signal decomposition algorithms, non negative matrix factorization (NMF) and non, negative K-SVD (NKSVD), in a polyphonic music transcription, task. State-of-the-art transcription systems are based on a frame-by-frame, low-level approach; blind systems could be an alternative to them. Two raw but effective audio-to-MIDI systems are proposed and evaluated. Performances are similar, but in favor of NMF, which is more robust to initialization, choice of the order and computationnally less costly.
AB - This paper investigates on the behavior of two blind signal decomposition algorithms, non negative matrix factorization (NMF) and non, negative K-SVD (NKSVD), in a polyphonic music transcription, task. State-of-the-art transcription systems are based on a frame-by-frame, low-level approach; blind systems could be an alternative to them. Two raw but effective audio-to-MIDI systems are proposed and evaluated. Performances are similar, but in favor of NMF, which is more robust to initialization, choice of the order and computationnally less costly.
KW - Automatic transcription
KW - K-SVD
KW - Non negative matrix factorization
KW - Polyphonic music
U2 - 10.1109/ICASSP.2007.366617
DO - 10.1109/ICASSP.2007.366617
M3 - Conference contribution
AN - SCOPUS:34547515685
SN - 1424407281
SN - 9781424407286
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - I65-I68
BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Y2 - 15 April 2007 through 20 April 2007
ER -