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Classifying Indian Classical Music For Therapeutic Cause Using Lightweight Deep Neural Network

Arnab Kundu
Department of Computer Science & Engineering Swami Vivekananda University Telinipara, Barasat - Barrackpore Rd Bara Kanthalia Barrackpore, India
Bijoy Kar
Department of Computer Science & Engineering Swami Vivekananda University Telinipara, Barasat - Barrackpore Rd Bara Kanthalia Barrackpore, India
Parijat Das
Department of Computer Science & Engineering Swami Vivekananda University Telinipara, Barasat - Barrackpore Rd Bara Kanthalia Barrackpore, India
Pratingya Sahoo
Department of Computer Science & Engineering Swami Vivekananda University Telinipara, Barasat - Barrackpore Rd Bara Kanthalia Barrackpore, India
Sweta Kumari
Department of Computer Science & Engineering Swami Vivekananda University Telinipara, Barasat - Barrackpore Rd Bara Kanthalia Barrackpore, India
Somsubhra Gupta
Department of Computer Science & Engineering Swami Vivekananda University Telinipara, Barasat - Barrackpore Rd Bara Kanthalia Barrackpore, India

Published 2026-05-27

Keywords

  • Indian Classical Music,
  • Deep Neural Network,
  • Classification,
  • Therapeutic Cause

How to Cite

Kundu, Arnab, et al. “Classifying Indian Classical Music For Therapeutic Cause Using Lightweight Deep Neural Network”. Swami Vivekananda University Press, May 2026, pp. 127-42, https://swamivivekanandauniversitypress.com/index.php/svup/article/view/566.

Abstract

Indian classical music, known for its emotional depth and complex melodies, is increasingly recognized for its therapeutic benefits. Genres like Bhajan, Thumri, Ghazal, and Sufi, paired with specific ragas such as Yaman (energizing) and Bhairavi (calming), offer unique effects like stress relief, emotional regulation, and introspection. A proposed lightweight deep learning model classifies genres and ragas by analysing key audio features such as rhythm, melody, pitch, and tonal patterns. The model captures the nuances of Indian music, ensuring precise therapeutic recommendations by accurately identifying genre-raga combinations for optimal psychological and emotional benefits.

DOI - https://doi.org/10.65525/SVUP.9788199778009.2026.127-142