Abstract
This paper proposes a method of guitar tablature transcription from audio signals. Multipitch estimation and fingering configuration estimation are essential for transcribing tablatures. Conventional multipitch estimation methods, including latent harmonic allocation (LHA), often estimate combinations of pitches that people cannot play due to inherent physical constraints. Unplayable combinations of pitches are eliminated by filtering the results of LHA with three constraints. We first enumerate playable fingering configurations, and use them to suppress any undesirable combination of pitches. The optimal fingering configuration in each time frame is optimized to satisfy the need for temporal continuity by using dynamic programming. We use synthesized guitar sounds from MIDI data (ground truth) for evaluation. Experiments with them demonstrate the improvement of multipitch estimation by 5.9 points on average in F-measure and the transcribed tablatures are playable.
| Original language | English |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Pages | 196-200 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 Oct 18 |
| Externally published | Yes |
| Event | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC Duration: 2013 May 26 → 2013 May 31 |
Other
| Other | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 |
|---|---|
| City | Vancouver, BC |
| Period | 13/5/26 → 13/5/31 |
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Keywords
- fingering configuration
- guitar tablature
- multipitch estimation
- music signal processing
- onset detection
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering
Cite this
Audio-based guitar tablature transcription using multipitch analysis and playability constraints. / Yazawa, Kazuki; Sakaue, Daichi; Nagira, Kohei; Itoyama, Katsutoshi; Okuno, Hiroshi G.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2013. p. 196-200 6637636.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - Audio-based guitar tablature transcription using multipitch analysis and playability constraints
AU - Yazawa, Kazuki
AU - Sakaue, Daichi
AU - Nagira, Kohei
AU - Itoyama, Katsutoshi
AU - Okuno, Hiroshi G.
PY - 2013/10/18
Y1 - 2013/10/18
N2 - This paper proposes a method of guitar tablature transcription from audio signals. Multipitch estimation and fingering configuration estimation are essential for transcribing tablatures. Conventional multipitch estimation methods, including latent harmonic allocation (LHA), often estimate combinations of pitches that people cannot play due to inherent physical constraints. Unplayable combinations of pitches are eliminated by filtering the results of LHA with three constraints. We first enumerate playable fingering configurations, and use them to suppress any undesirable combination of pitches. The optimal fingering configuration in each time frame is optimized to satisfy the need for temporal continuity by using dynamic programming. We use synthesized guitar sounds from MIDI data (ground truth) for evaluation. Experiments with them demonstrate the improvement of multipitch estimation by 5.9 points on average in F-measure and the transcribed tablatures are playable.
AB - This paper proposes a method of guitar tablature transcription from audio signals. Multipitch estimation and fingering configuration estimation are essential for transcribing tablatures. Conventional multipitch estimation methods, including latent harmonic allocation (LHA), often estimate combinations of pitches that people cannot play due to inherent physical constraints. Unplayable combinations of pitches are eliminated by filtering the results of LHA with three constraints. We first enumerate playable fingering configurations, and use them to suppress any undesirable combination of pitches. The optimal fingering configuration in each time frame is optimized to satisfy the need for temporal continuity by using dynamic programming. We use synthesized guitar sounds from MIDI data (ground truth) for evaluation. Experiments with them demonstrate the improvement of multipitch estimation by 5.9 points on average in F-measure and the transcribed tablatures are playable.
KW - fingering configuration
KW - guitar tablature
KW - multipitch estimation
KW - music signal processing
KW - onset detection
UR - http://www.scopus.com/inward/record.url?scp=84890537974&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890537974&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6637636
DO - 10.1109/ICASSP.2013.6637636
M3 - Conference contribution
AN - SCOPUS:84890537974
SN - 9781479903566
SP - 196
EP - 200
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -