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 |
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| 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 |
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