Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction

Kenji Kobayashi; Daiki Takeuchi; Mio Iwamoto; Kohei Yatabe; Yasuhiro Oikawa

doi:10.1109/ICASSP.2018.8461547

Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction

Kenji Kobayashi, Daiki Takeuchi, Mio Iwamoto, Kohei Yatabe, Yasuhiro Oikawa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	626-630
Number of pages	5
ISBN (Print)	9781538646588
DOIs	https://doi.org/10.1109/ICASSP.2018.8461547
Publication status	Published - 2018 Sept 10
Externally published	Yes
Event	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada Duration: 2018 Apr 15 → 2018 Apr 20

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2018-April
ISSN (Print)	1520-6149

Other

Other	2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
Country/Territory	Canada
City	Calgary
Period	18/4/15 → 18/4/20

Keywords

Autoregressive (AR) spectrum estimation
Difference of convex (DC) algorithm
IIR filter design
Sparse optimization
ℓ constrained least squares

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2018.8461547

Cite this

Kobayashi, K., Takeuchi, D., Iwamoto, M., Yatabe, K., & Oikawa, Y. (2018). Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings (pp. 626-630). [8461547] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2018-April). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2018.8461547

Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction. / Kobayashi, Kenji; Takeuchi, Daiki; Iwamoto, Mio et al.
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 626-630 8461547 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kobayashi, K, Takeuchi, D, Iwamoto, M, Yatabe, K & Oikawa, Y 2018, Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction. in 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings., 8461547, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2018-April, Institute of Electrical and Electronics Engineers Inc., pp. 626-630, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, Calgary, Canada, 18/4/15. https://doi.org/10.1109/ICASSP.2018.8461547

Kobayashi K, Takeuchi D, Iwamoto M, Yatabe K, Oikawa Y. Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction. In 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 626-630. 8461547. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2018.8461547

Kobayashi, Kenji ; Takeuchi, Daiki ; Iwamoto, Mio et al. / Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction. 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 626-630 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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Parametric Approximation of Piano Sound Based on Kautz Model with Sparse Linear Prediction

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