Research Article iMedPub Journals American Journal of Computer Science and Information 2018 http://www.imedpub.com/ Vol.6 No.3:30 Technology DOI: 10.21767/2349-3917.100030 ISSN 2349-3917 Detecting tāla Computationally in Polyphonic Context-A Novel Approach Susmita Bhaduri*, Anirban Bhaduri and Dipak Ghosh, Deepa Ghosh Research Foundation, Maharaja Tagore Road, India *Corresponding author: Susmita Bhaduri, Deepa Ghosh Research Foundation, Maharaja Tagore Road, India, Tel: 919836132200; E-mail:
[email protected] Received Date: October 01, 2018; Accepted Date: October 04, 2018 Published Date: October 29, 2018 Citation: Bhaduri S, Bhaduri A, Ghosh D (2018) Detecting tāla Computationally in Polyphonic Context-A Novel Approach. Am J Compt Sci Inform Technol Vol.6 No.3: 30 Copyright: ©2018 Bhaduri S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. framework. We should consider a knowledge-based approach to create the computational model for NIMS rhythm. Tools Abstract developed for rhythm analysis can be useful in a lot of applications such as intelligent music archival, enhanced In North-Indian-Music-System (NIMS), tablā is mostly used navigation through music collections, content based music as percussive accompaniment for vocal-music in retrieval, for an enriched and informed appreciation of the polyphonic-compositions. The human auditory system uses subtleties of music and for pedagogy. Most of these applications perceptual grouping of musical-elements and easily filters the tablā component, thereby decoding prominent deal with music compositions of polyphonic kind in the context rhythmic features like tāla, tempo from a polyphonic- of blending of various signals arising from different sources.