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Evaluation of Nonlinear Tempo Modification Methods Based on Sinusoidal Modeling

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Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 82))

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Abstract

Modifying tempo of musical signal is one of the basic signal processing for music signal, and many methods have been proposed so far. Nishino et al. proposed a tempo modification method of nonlinear modification based on sinusoidal model, but the evaluation of the methods was insufficient. In this paper, we evaluated the tempo modification methods with sinusoidal model and nonlinear signal stretch and compression. Namely, we compared effectiveness of use of residue signal and methods of determination of stretchable parts. From the experimental result, we could confirm the efficiency of the nonlinear tempo modification. We also compared several methods of determining the stretchable parts as well as the use of residue signal. As a result, the effect of the methods depended on the input signal.

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Authors and Affiliations

  1. Faculty of Engineering, Tohoku University, Sendai, Japan

    Kosuke Nakamura, Yuya Chiba, Takashi Nose & Akinori Ito

  2. Graduate School of Engineering, Tohoku University, Sendai, Japan

    Kosuke Nakamura, Yuya Chiba, Takashi Nose & Akinori Ito

Authors
  1. Kosuke Nakamura
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  2. Yuya Chiba
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  3. Takashi Nose
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  4. Akinori Ito
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Corresponding author

Correspondence to Kosuke Nakamura .

Editor information

Editors and Affiliations

  1. Fujian Provincial Key Lab of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Pei-Wei Tsai

  3. Universiti Teknologi Petronas, Teronoh, Malaysia

    Junzo Watada

  4. University of Canberra, Bruce, Aust Capital Terr, Australia

    Lakhmi C. Jain

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Nakamura, K., Chiba, Y., Nose, T., Ito, A. (2018). Evaluation of Nonlinear Tempo Modification Methods Based on Sinusoidal Modeling. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_14

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  • DOI: https://doi.org/10.1007/978-3-319-63859-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

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