Evaluation of nonlinear tempo modification methods based on sinusoidal modeling

Kosuke Nakamura, Yuya Chiba, Takashi Nose, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationAdvances in Intelligent Information Hiding and Multimedia Signal Processing - Proceedings of the 13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing,
EditorsJunzo Watada, Lakhmi C. Jain, Jeng-Shyang Pan, Pei-Wei Tsai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages104-111
Number of pages8
ISBN (Print)9783319638584
DOIs
Publication statusPublished - 2018
Event13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017 - Matsue, Shimane, Japan
Duration: 2017 Aug 122017 Aug 15

Publication series

NameSmart Innovation, Systems and Technologies
Volume82
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other13th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2017
CountryJapan
CityMatsue, Shimane
Period17/8/1217/8/15

Keywords

  • Music signal processing
  • Sinusoidal model
  • Tempo modification

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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