TY - GEN
T1 - Integration and adaptation of harmonic and inharmonic models for separating polyphonic musical signals
AU - Itoyama, Katsutoshi
AU - Goto, Masataka
AU - Komatani, Kazunori
AU - Ogata, Tetsuya
AU - Okuno, Hiroshi G.
PY - 2007
Y1 - 2007
N2 - This paper describes a sound source separation method for polyphonic sound mixtures o music to build an instrument equalizer for remixing multiple tracks separated from compact-disc recordings by changing the volume level of each track. Although such, mixtures usually include both harmonic and inharmonic sounds, the difficulties in dealing with both types of sounds together have not been addressed in most previous methods that have focused on either of the two types separately. We therefore developed an integrated weighted-mixture model consisting of both harmonic-structure and inharmonic-structure tone models (generative models for the power spectrogram). On the basis of the MAP estimation using the EM algorithm, we estimated all model parameters of this, integrated model under several original constraints for preventing over-training and maintaining intra-instrument consistency. Using standard MIDI files as prior information of the model parameters, We applied this model to compact-disc recordings and achieved the instrument equalizer.
AB - This paper describes a sound source separation method for polyphonic sound mixtures o music to build an instrument equalizer for remixing multiple tracks separated from compact-disc recordings by changing the volume level of each track. Although such, mixtures usually include both harmonic and inharmonic sounds, the difficulties in dealing with both types of sounds together have not been addressed in most previous methods that have focused on either of the two types separately. We therefore developed an integrated weighted-mixture model consisting of both harmonic-structure and inharmonic-structure tone models (generative models for the power spectrogram). On the basis of the MAP estimation using the EM algorithm, we estimated all model parameters of this, integrated model under several original constraints for preventing over-training and maintaining intra-instrument consistency. Using standard MIDI files as prior information of the model parameters, We applied this model to compact-disc recordings and achieved the instrument equalizer.
KW - Equalizers
KW - Music
KW - Music understanding
KW - Separation
KW - Sound source separation
UR - http://www.scopus.com/inward/record.url?scp=34547549019&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547549019&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2007.366615
DO - 10.1109/ICASSP.2007.366615
M3 - Conference contribution
AN - SCOPUS:34547549019
SN - 1424407281
SN - 9781424407286
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - I57-I60
BT - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
T2 - 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Y2 - 15 April 2007 through 20 April 2007
ER -