Automatic Raaga Identification System For Carnatic Music Using Hidden Markov Model

B. Tarakeswara Rao; Dr. Prasad Reddy P.V.G.D; Dr. K.R Sudha

Automatic Raaga Identification System For Carnatic Music Using Hidden Markov Model

B. Tarakeswara Rao * §

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Dr. Prasad Reddy P.V.G.D ‡

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Dr. K.R Sudha §

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Dr. CH.V.M.K.Hari §

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§ Vignan University

‡ GITAM University

Automatic Raaga Identification System For Carnatic Music Using Hidden Markov Model

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Abstract

As for as the Human Computer Interactions (HCI) is concerned, there is broad range of applications in the area of research in respective of Automatic Melakarta Raaga Identification in music. The pattern of identification is the main object for which, the basic mathematical tool is utilized. On verification, it is observed that no model is proved consistently and effectively to be predicted in its classification. This paper is, therefore, introduces a procedure for Raaga Identification with the help of Hidden Markov Models (HMM) which is rather an appropriate approach in identifying Melakarta Raagas. This proposed approach is based on the standard speech recognition technology by using Hidden continuous Markov Model. Data is collected from the existing data base for training and testing of the method with due design process relating to Melakarta Raagas. Similarly, to solve the problem of automatic identification of raagas, a suitable approach from the existing database is presented. The system, particularly, this model is based on a Hidden Markov Model enhanced with Pakad string matching algorithm. The entire system is built on top of an automatic note transcriptor. At the end, detailed elucidations of the experiments are given. It clearly indicates the effectiveness and applicability of this method with its intrinsic value and significance.

References

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

B. Tarakeswara Rao, Dr. Prasad Reddy P.V.G.D, Dr. K.R Sudha, Dr. CH.V.M.K.Hari. . "Automatic Raaga Identification System For Carnatic Music Using Hidden Markov Model". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 22).

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GJCST Volume 11 Issue 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Hidden Markov Models (HMM) classifier Melakarta Raaga Pakad Raaga Recognition

Classification

GJCST Classification G.3

I.2.6

Submission ReceivedOctober 29, 2011
Peer Review Double Blind
Handling Editor
Accepted November 22, 2011
Published January 12, 2012

Version of record

v1.2

Issue date

January 12, 2012

Language

English

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Article Matrices

Total Score: 154

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Dr. Prasad Reddy P.V.G.D ,B. Tarakeswara Rao , Dr. K.R Sudha,Hari CH.V.M.K. (PhD/Dr. count: 2)

View Count (all-time): 451

Total Views (Real + Logic): 4412

Total Downloads (simulated): 309

Publish Date: 2011 12, Sun

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Total Views: 4.4K

Total Downloads: 309

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