Title: Raga recognition through tonic identification using flute acoustics

Authors: M.S. Sinith; K.V.V. Murthy; Shikha Tripathi

Addresses: Department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, Amrita University, India ' Department of Electrical Engineering, Indian Institute of Technology Gandhinagar, Gandhinagar, Gujarat, India ' Department of Electronics and Communication Engineering, Amrita School of Engineering, Bengaluru, Amrita Vishwa Vidyapeetham, Amrita University, India

Abstract: Tonic identification is traditionally approached using pitch histogram. Acoustic characteristics of musical instruments have not been used for the purpose. The conventional tonic identifiers are either knowledge-based or multi-pitch analysis-based. These methods either directly or indirectly depend on the drone sound. The efficiency of these systems drastically decreases in the absence of the later. In this paper, a tonic identification method which is independent of drone sound is proposed for flute signals which makes use of acoustic characteristics of the instrument. In addition, tonic identification is utilised for real-time raga recognition.

Keywords: tonic identification; Indian classical music; raga recognition; flute acoustics.

DOI: 10.1504/IJAIP.2020.105821

International Journal of Advanced Intelligence Paradigms, 2020 Vol.15 No.3, pp.273 - 286

Received: 07 Nov 2016
Accepted: 09 Jan 2017
Published online: 16 Mar 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article