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

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

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Survey Paper | Computer Science & Engineering | India | Volume 9 Issue 4, April 2020

Generation of Indian Classical Music using Artificial Intelligence: A Survey

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

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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How to Cite this Article?

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), https://www.ijsr.net/search_index_results_paperid.php?id=SR20413163527, Volume 9 Issue 4, April 2020, 874 - 877

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Survey Paper, Computer Science & Engineering, India, Volume 9 Issue 4, April 2020

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Generation of Indian Classical Music using Artificial Intelligence: A Survey

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

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