Bowed string sequence estimation of a violin based on adaptive audio signal classification and context-dependent error correction

Akira Maezawa, Katsutoshi Itoyama, Toru Takahashi, Tetsuya Ogata, Hiroshi G. Okuno

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

5 Citations (Scopus)

Abstract

The sequence of strings played on a bowed string instrument is essential to understanding of the fingering. Thus, its estimation is required for machine understanding of violin playing. Audio-based identification is the only viable way to realize this goal for existing music recordings. A naïve implementation using audio classification alone, however, is inaccurate and is not robust against variations in string or instruments. We develop a bowed string sequence estimation method by combining audio-based bowed string classification and context-dependent error correction. The robustness against different setups of instruments improves by normalizing the F0-dependent features using the average feature of a recording. The performance of error correction is evaluated using an electric violin with two different brands of strings and and an acoustic violin. By incorporating mean normalization, the recognition error of recognition accuracy due to changing the string alleviates by 8 points, and that due to change of instrument by 12 points. Error correction decreases the error due to change of string by 8 points and that due to different instrument by 9 points.

Original languageEnglish
Title of host publicationISM 2009 - 11th IEEE International Symposium on Multimedia
Pages9-16
Number of pages8
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
Event11th IEEE International Symposium on Multimedia, ISM 2009 - San Diego, CA, United States
Duration: 2009 Dec 142009 Dec 16

Publication series

NameISM 2009 - 11th IEEE International Symposium on Multimedia

Conference

Conference11th IEEE International Symposium on Multimedia, ISM 2009
CountryUnited States
CitySan Diego, CA
Period09/12/1409/12/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software

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