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A ZigZag Pattern of Local Extremum Logarithm Difference for Illumination-Invariant and Heterogeneous Face Recognition Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Automatic Identification of Tala from Tabla Signal

Authors : Rajib Sarkar, Anjishnu Mondal, Ankita Singh, Sanjoy Kumar Saha

Published in: Transactions on Computational Science XXXI

Publisher: Springer Berlin Heidelberg

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Abstract

Tabla is the most common rhythmic instrument in Indian Classical music. A bol the fundamental unit of tabla play and it is produced by striking either or both of the two drums of tabla. Tala (rhythm) is formed with a basic sequence of bols that appears in a cyclic pattern. In this work, bols are automatically segmented from tabla signal following Attack-Decay-Sustain-Release (ADSR) model. Subsequently segmented bols are recognized using low level spectral descriptors and support vector machine (SVM). The identified bol sequence generates transcript of tabla play. A template based matching approach is used to identify tala from the transcript. Proposed system tested successfully with a variety of collection of tabla signal of different talas and it can be utilized in rhythm analysis of music. Moreover, for the learners also the system can help in analyzing their performance.

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previous chapter A ZigZag Pattern of Local Extremum Logarithm Difference for Illumination-Invariant and Heterogeneous Face Recognition
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Metadata
Title
Automatic Identification of Tala from Tabla Signal
Authors
Rajib Sarkar
Anjishnu Mondal
Ankita Singh
Sanjoy Kumar Saha
Copyright Year
2018
Publisher
Springer Berlin Heidelberg
Book
Transactions on Computational Science XXXI

Print ISBN: 978-3-662-56498-1

Electronic ISBN: 978-3-662-56499-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-662-56499-8_2

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