Dynamic segmentation approach for efficient Arabian music transcription

Al-Taee, M.A. and Aiy, A.K. (2012) Dynamic segmentation approach for efficient Arabian music transcription. In: 9th International Multi-Conference on Systems, Signals and Devices; 20 - 23 Mar 2012, Chemnitz, Germany. ISBN 9781467315906

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Abstract

In Arabian music transcription where the tone-to-tone distance is half of that of the Western music, the segmentation phase of the transcription process can therefore be more challenging. This paper describes an efficient dynamic segmentation approach which considers the sixteenth note as fundamental note duration. Unlike static segmentation, the proposed dynamic segmentation approach divides the entire musical piece into non-equal durations depending upon tempo of the musical piece and the repetition rate of the musical notes. Performance of the proposed segmentation algorithm is assessed experimentally by applying it to numerous human and instrumental musical pieces that are performed with Arabian quarter tones. When compared to static segmentation with various overlap periods, the proposed dynamic segmentation has demonstrated a significant reduction in computation load and improved tone-to-tone distance estimation.

Item Type: Conference or Workshop Item (Paper)
Event Title: 9th International Multi-Conference on Systems, Signals and Devices
Organising Body: IEEE
Uncontrolled Keywords: Arabian music transcription , Arabian quarter tones , Western music , dynamic segmentation approach , fundamental note duration , musical notes repetition rate , musical piece tempo , nonequal durations , tone-to-tone distance estimation
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Computing and Information Systems
Depositing User: Majid Al-Taee
Date Deposited: 23 Nov 2012 11:13
Last Modified: 23 Nov 2012 11:13
URI: http://eprints.kingston.ac.uk/id/eprint/24095

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