Generation of Indian Classical Music using Artificial Intelligence: A Survey
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Survey Paper | Computer Science & Engineering | India | Volume 9 Issue 4, April 2020 | Popularity: 7 / 10


     

Generation of Indian Classical Music using Artificial Intelligence: A Survey

Bharavi U. Desai, Kunjal I. Tandel, Rahul M. Patel


Abstract: This paper is a survey and an examination of the various ways in which classical music content is produced. For our survey, we propose a framework focused on five dimensions: Objective, Representation, Architecture, Challenge and strategy. For each dimension, we conduct a comparative analysis of various models and techniques and we propose some tentative multidimensional typology. This typology is bottom-up, based on the analysis of many existing deep-learning based systems for music generation selected from the relevant literature.


Keywords: LSTM, GRU, RNN, Arohana, Avrohana, FSM, Gamakas, HMM


Edition: Volume 9 Issue 4, April 2020


Pages: 874 - 877



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Bharavi U. Desai, Kunjal I. Tandel, Rahul M. Patel, "Generation of Indian Classical Music using Artificial Intelligence: A Survey", International Journal of Science and Research (IJSR), Volume 9 Issue 4, April 2020, pp. 874-877, https://www.ijsr.net/getabstract.php?paperid=SR20413163527, DOI: https://www.doi.org/10.21275/SR20413163527

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