TY - GEN
T1 - Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction
AU - Kobayashi, Kenji
AU - Takeuchi, Daiki
AU - Iwamoto, Mio
AU - Yatabe, Kohei
AU - Oikawa, Yasuhiro
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/10
Y1 - 2018/9/10
N2 - The piano is one of the most popular and attractive musical instruments that leads to a lot of research on it. To synthesize the piano sound in a computer, many modeling methods have been proposed from full physical models to approximated models. The focus of this paper is on the latter, approximating piano sound by an IIR filter. For stably estimating parameters, the Kautz model is chosen as the filter structure. Then, the selection of poles and excitation signal rises as the questions which are typical to the Kautz model that must be solved. In this paper, sparsity based construction of the Kautz model is proposed for approximating piano sound.
AB - The piano is one of the most popular and attractive musical instruments that leads to a lot of research on it. To synthesize the piano sound in a computer, many modeling methods have been proposed from full physical models to approximated models. The focus of this paper is on the latter, approximating piano sound by an IIR filter. For stably estimating parameters, the Kautz model is chosen as the filter structure. Then, the selection of poles and excitation signal rises as the questions which are typical to the Kautz model that must be solved. In this paper, sparsity based construction of the Kautz model is proposed for approximating piano sound.
KW - Autoregressive (AR) spectrum estimation
KW - Difference of convex (DC) algorithm
KW - IIR filter design
KW - Sparse optimization
KW - ℓ constrained least squares
UR - http://www.scopus.com/inward/record.url?scp=85054230394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85054230394&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2018.8461547
DO - 10.1109/ICASSP.2018.8461547
M3 - Conference contribution
AN - SCOPUS:85054230394
SN - 9781538646588
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 626
EP - 630
BT - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Y2 - 15 April 2018 through 20 April 2018
ER -