Please use this identifier to cite or link to this item: https://doi.org/10.1145/1291233.1291361
Title: Visual analysis of fingering for pedagogical violin transcription
Authors: Zhang, B.
Zhu, J. 
Wang, Y. 
Leow, W.K. 
Keywords: Automatic note inference
Multiple finger tracking
Music transcription
Violin fingering chart
Issue Date: 2007
Source: Zhang, B.,Zhu, J.,Wang, Y.,Leow, W.K. (2007). Visual analysis of fingering for pedagogical violin transcription. Proceedings of the ACM International Multimedia Conference and Exhibition : 521-524. ScholarBank@NUS Repository. https://doi.org/10.1145/1291233.1291361
Abstract: Automatic music transcription, in spite of decades of research, remains a challenging research problem. The traditional audio-only approach has yet to achieve a satisfactory performance for any computer-aided pedagogical system. Inspired by the high correlation between violin playing techniques (fingering, bowing) and the played acoustic notes, this paper presents a first attempt in visual analysis of violin fingering to compensate for the difficulties in audio-only music transcription. This is achieved by a robust multiple finger tracking algorithm and a string detection method that extract press, release, and fingertip position from the fingering video and automatically translate the fingering information into the played acoustic note, i.e., onset, offset, and pitches. Experimental results reveal high correctness in multiple finger tracking and string detection, thus paving the way for an improved audio-visual violin transcription system. Copyright 2007 ACM.
Source Title: Proceedings of the ACM International Multimedia Conference and Exhibition
URI: http://scholarbank.nus.edu.sg/handle/10635/40278
ISBN: 9781595937025
DOI: 10.1145/1291233.1291361
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