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 | |
| 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 |
Fingerprint
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
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
}
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.
ER -