IIIT Hyderabad Publications |
|||||||||
|
Identifying Ragas in Indian MusicAuthors: Vijay Kumar,Harith Pandya,C V Jawahar Conference: ICPR 2014 (International Conference on Pattern Recognition 2014) Date: 2014-08-24 Report no: IIIT/TR/2014/47 AbstractIn this work, we propose a method to identify the ragas of an Indian Carnatic music signal. This has several interesting applications in digital music indexing, recommendation and retrieval. However, this problem is hard due to (i) the absence of a fixed frequency for a note (ii) relative scale of notes (iii) oscillations around a note, and (iv) improvisations. In this work, we attempt the raga classification problem in a non-linear SVM framework using a combination of two kernels that represent the similarities of a music signal using two different featurespitch- class profile and n-gram distribution of notes. This differs from the previous pitch-class profile based approaches where the temporal information of notes is ignored. We evaluated the proposed approach on our own raga dataset and CompMusic dataset and show an improvement of 10:19% by combining the information from two features relevant to Indian Carnatic music. Full paper: pdf Centre for Visual Information Technology |
||||||||
Copyright © 2009 - IIIT Hyderabad. All Rights Reserved. |