Raga Recognition in Indian Carnatic Music Using Convolutional Neural Networks-Reference-Cited by-同舟云学术

Raga Recognition in Indian Carnatic Music Using Convolutional Neural Networks

Published:2022-05-07 Issue: Volume:9 Page:5-10
ISSN:1109-9577
Container-title:WSEAS TRANSACTIONS ON ACOUSTICS AND MUSIC
language:en
Short-container-title:

Author:

Rajan Rajeev¹,Sivan Sreejith¹

Affiliation:

1. College of Engineering,Trivandrum APJ Abdul Kalam Technological University, Kerala, INDIA

Abstract

A vital aspect of Indian Classical music (ICM) is raga, which serves as a melodic framework for compositions and improvisations for both traditions of classical music. In this work, we propose a CNN-based sliding window analysis on mel-spectrogram and modgdgram for raga recognition in Carnatic music. The impor- tant contribution of the work is that the pro- posed method neither requires pitch extraction nor metadata for the estimation of raga. CNN learns the representation of raga from the pat- terns in the melspectrogram/ modgdgram dur- ing training through a sliding-window analysis. We train and test the network on sliced-mel- spectrogram/modgdgram of the original audio while the nal inference is performed on the au- dio as a whole. The performance is evaluated on 15 ragas from the CompMusic dataset. Multi- stream fusion has also been implemented to identify the potential of two feature representations. Multi-stream architecture shows promise in the proposed scheme for raga recognition.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

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