Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency

Kazuki Yazawa, Katsutoshi Itoyama, Hiroshi G. Okuno

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

12 Citations (Scopus)

Abstract

We describe a method for automatically transcribing guitar tablatures from audio signals in accordance with the player's proficiency for use as support for a guitar player's practice. The system estimates the multiple pitches in each time frame and the optimal fingering considering playability and player's proficiency. It combines a conventional multipitch estimation method with a basic dynamic programming method. The difficulty of the fingerings can be changed by tuning the parameter representing the relative weights of the acoustical reproducibility and the fingering easiness. Experiments conducted using synthesized guitar audio signals to evaluate the transcribed tablatures in terms of the multipitch estimation accuracy and fingering easiness demonstrated that the system can simplify the fingering with higher precision of multipitch estimation results than the conventional method.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3122-3126
Number of pages5
ISBN (Print)9781479928927
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence
Duration: 2014 May 42014 May 9

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
CityFlorence
Period14/5/414/5/9

Fingerprint

Transcription
Dynamic programming
Tuning
Experiments

Keywords

  • Dynamic programming (DP)
  • guitar tablature transcription
  • multipitch estimation
  • music signal processing
  • performance proficiency

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Yazawa, K., Itoyama, K., & Okuno, H. G. (2014). Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 3122-3126). [6854175] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854175

Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency. / Yazawa, Kazuki; Itoyama, Katsutoshi; Okuno, Hiroshi G.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3122-3126 6854175.

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

Yazawa, K, Itoyama, K & Okuno, HG 2014, Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6854175, Institute of Electrical and Electronics Engineers Inc., pp. 3122-3126, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, 14/5/4. https://doi.org/10.1109/ICASSP.2014.6854175
Yazawa K, Itoyama K, Okuno HG. Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3122-3126. 6854175 https://doi.org/10.1109/ICASSP.2014.6854175
Yazawa, Kazuki ; Itoyama, Katsutoshi ; Okuno, Hiroshi G. / Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3122-3126
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