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 proceedingConference contribution

    3 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 languageEnglish
    Title of host publication2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages626-630
    Number of pages5
    Volume2018-April
    ISBN (Print)9781538646588
    DOIs
    Publication statusPublished - 2018 Sep 10
    Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Calgary, Canada
    Duration: 2018 Apr 152018 Apr 20

    Other

    Other2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018
    CountryCanada
    CityCalgary
    Period18/4/1518/4/20

    Fingerprint

    Acoustic waves
    Musical instruments
    IIR filters
    Poles

    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

    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 (Vol. 2018-April, pp. 626-630). [8461547] 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; Yatabe, Kohei; Oikawa, Yasuhiro.

    2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. p. 626-630 8461547.

    Research output: Chapter in Book/Report/Conference proceedingConference 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. vol. 2018-April, 8461547, 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. Vol. 2018-April. Institute of Electrical and Electronics Engineers Inc. 2018. p. 626-630. 8461547 https://doi.org/10.1109/ICASSP.2018.8461547
    Kobayashi, Kenji ; Takeuchi, Daiki ; Iwamoto, Mio ; Yatabe, Kohei ; Oikawa, Yasuhiro. / 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. Vol. 2018-April Institute of Electrical and Electronics Engineers Inc., 2018. pp. 626-630
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