Gulati, Sankalp and Bellur, Ashwin and Salamon, Justin and Ranjani, HG and Ishwar, Vignesh and Murthy, Hema A and Serra, Xavier (2014) Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation. In: JOURNAL OF NEW MUSIC RESEARCH, 43 (1, SI). pp. 53-71.
Full text not available from this repository. (Request a copy)Abstract
The tonic is a fundamental concept in Indian art music. It is the base pitch, which an artist chooses in order to construct the melodies during a rg(a) rendition, and all accompanying instruments are tuned using the tonic pitch. Consequently, tonic identification is a fundamental task for most computational analyses of Indian art music, such as intonation analysis, melodic motif analysis and rg recognition. In this paper we review existing approaches for tonic identification in Indian art music and evaluate them on six diverse datasets for a thorough comparison and analysis. We study the performance of each method in different contexts such as the presence/absence of additional metadata, the quality of audio data, the duration of audio data, music tradition (Hindustani/Carnatic) and the gender of the singer (male/female). We show that the approaches that combine multi-pitch analysis with machine learning provide the best performance in most cases (90% identification accuracy on average), and are robust across the aforementioned contexts compared to the approaches based on expert knowledge. In addition, we also show that the performance of the latter can be improved when additional metadata is available to further constrain the problem. Finally, we present a detailed error analysis of each method, providing further insights into the advantages and limitations of the methods.
| Item Type: | Journal Article |
|---|---|
| Publication: | JOURNAL OF NEW MUSIC RESEARCH |
| Publisher: | ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD |
| Additional Information: | copyright for this article belongs to ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXFORDSHIRE, ENGLAND |
| Keywords: | tonic; drone; Indian art music; Hindustani; Carnatic; tanpura; sadja; Indian classical music |
| Department/Centre: | Division of Electrical Sciences > Electrical Engineering |
| Date Deposited: | 24 Jun 2014 06:59 |
| Last Modified: | 24 Jun 2014 06:59 |
| URI: | http://eprints.iisc.ac.in/id/eprint/49328 |
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