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 |
Keywords
- fingering configuration
- guitar tablature
- multipitch estimation
- music signal processing
- onset detection
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering