VISUAL PITCH CLASS PROFILE - A Video-based Method for Real-time Guitar Chord Identification
M. Cicconet, P. Carvalho, L. Velho, M. Gattass
2010
Abstract
We propose a video-based method for real-time guitar chord identification which is analogous to the state-of-the-art audio-based method. While the method based on audio data uses the Pitch Class Profile feature and supervised Machine Learning techniques to ``teach'' the machine about the chord ``shape'', we use as feature the approximated positions of fingertips in the guitar fretboard (what we call Visual Pitch Class Profile), captured using especial hardware. We show that visual- and audio-based methods have similar classification performance, but the former outperforms the latter with respect to the immunity to noise caused by strumming.
References
- Bradski, G. and Kaehler, A. (2008). Learning OpenCV: Computer Vision with the OpenCV Library. O'Reilly.
- Burns, A. and Wanderley, M. (2006). Visual methods for
Paper Citation
in Harvard Style
Cicconet M., Carvalho P., Velho L. and Gattass M. (2010). VISUAL PITCH CLASS PROFILE - A Video-based Method for Real-time Guitar Chord Identification . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 487-490. DOI: 10.5220/0002824904870490
in Bibtex Style
@conference{visapp10,
author={M. Cicconet and P. Carvalho and L. Velho and M. Gattass},
title={VISUAL PITCH CLASS PROFILE - A Video-based Method for Real-time Guitar Chord Identification},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={487-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002824904870490},
isbn={978-989-674-029-0},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - VISUAL PITCH CLASS PROFILE - A Video-based Method for Real-time Guitar Chord Identification
SN - 978-989-674-029-0
AU - Cicconet M.
AU - Carvalho P.
AU - Velho L.
AU - Gattass M.
PY - 2010
SP - 487
EP - 490
DO - 10.5220/0002824904870490