The "Thaat and Raga Forest (TRF) Dataset" represents a significant advancement in computational musicology, focusing specifically on Indian Classical Music (ICM). While Western music has seen substantial attention in this field, ICM remains relatively underexplored. This manuscript presents the utilization of Deep Learning models to analyze ICM, with a primary focus on identifying Thaats and Ragas within musical compositions. Thaats and Ragas identification holds pivotal importance for various applications, including sentiment-based recommendation systems and music categorization.

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[1] Surya Majumder, Adrija Bhattacharya, "Thaat and Raga Forest (TRF) Dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/0xtb-fn23. Accessed: Dec. 14, 2024.
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doi = {10.21227/0xtb-fn23},
url = {http://dx.doi.org/10.21227/0xtb-fn23},
author = {Surya Majumder; Adrija Bhattacharya },
publisher = {IEEE Dataport},
title = {Thaat and Raga Forest (TRF) Dataset},
year = {2024} }
TY - DATA
T1 - Thaat and Raga Forest (TRF) Dataset
AU - Surya Majumder; Adrija Bhattacharya
PY - 2024
PB - IEEE Dataport
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Surya Majumder, Adrija Bhattacharya. (2024). Thaat and Raga Forest (TRF) Dataset. IEEE Dataport. http://dx.doi.org/10.21227/0xtb-fn23
Surya Majumder, Adrija Bhattacharya, 2024. Thaat and Raga Forest (TRF) Dataset. Available at: http://dx.doi.org/10.21227/0xtb-fn23.
Surya Majumder, Adrija Bhattacharya. (2024). "Thaat and Raga Forest (TRF) Dataset." Web.
1. Surya Majumder, Adrija Bhattacharya. Thaat and Raga Forest (TRF) Dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/0xtb-fn23
Surya Majumder, Adrija Bhattacharya. "Thaat and Raga Forest (TRF) Dataset." doi: 10.21227/0xtb-fn23