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

Kazuki Yazawa; Katsutoshi Itoyama; Hiroshi G. Okuno

doi:10.1109/ICASSP.2014.6854175

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 proceeding › Conference contribution

14 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 language	English
Title of host publication	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3122-3126
Number of pages	5
ISBN (Print)	9781479928927
DOIs	https://doi.org/10.1109/ICASSP.2014.6854175
Publication status	Published - 2014
Externally published	Yes
Event	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence Duration: 2014 May 4 → 2014 May 9

Other

Other	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
City	Florence
Period	14/5/4 → 14/5/9

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

Access to Document

10.1109/ICASSP.2014.6854175

Fingerprint Dive into the research topics of 'Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency'. Together they form a unique fingerprint.

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 proceeding › Conference 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

@inproceedings{5f2eb13b01db4e3a8fb816515b96912c,

title = "Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency",

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.",

keywords = "Dynamic programming (DP), guitar tablature transcription, multipitch estimation, music signal processing, performance proficiency",

author = "Kazuki Yazawa and Katsutoshi Itoyama and Okuno, {Hiroshi G.}",

year = "2014",

doi = "10.1109/ICASSP.2014.6854175",

language = "English",

isbn = "9781479928927",

pages = "3122--3126",

booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",

}

TY - GEN

T1 - Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency

AU - Yazawa, Kazuki

AU - Itoyama, Katsutoshi

AU - Okuno, Hiroshi G.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Dynamic programming (DP)

KW - guitar tablature transcription

KW - multipitch estimation

KW - music signal processing

KW - performance proficiency

UR - http://www.scopus.com/inward/record.url?scp=84905216548&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84905216548&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2014.6854175

DO - 10.1109/ICASSP.2014.6854175

M3 - Conference contribution

AN - SCOPUS:84905216548

SN - 9781479928927

SP - 3122

EP - 3126

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014

Y2 - 4 May 2014 through 9 May 2014

ER -

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

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this