Deep Learning Approach to Joint Identification of Instrument Pitch and Raga for Indian Classical Music-Reference-Cited by-同舟云学术

Deep Learning Approach to Joint Identification of Instrument Pitch and Raga for Indian Classical Music

Published:2022-09-23 Issue: Volume: Page:159-174
ISSN:1860-4862
Container-title:Advances in Speech and Music Technology
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Author:

Bhat Ashwini,Krishnan Karrthik Gopi,Mahesh Vishal,Ananthapadmanabha Vijaya Krishna

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-18444-4_8

Reference15 articles.

1. Ashwini, Krishna, A.V., Mahesh, V. and Karrthik, G.K., 2020. Tone detection for Indian classical polyphonic instrumental audio using DNN model. International Journal of Forensic Engineering, 4(4), pp. 310–322.

2. Pawar, M.Y. and Mahajan, S., 2019. Automatic Tonic (Shruti) Identification System for Indian Classical Music. In Soft Computing and Signal Processing (pp. 733–742). Springer, Singapore.

3. Salamon, Justin & Gulati, Sankalp & Serra, Xavier. (2012). A MultiPitch Approach to Tonic Identification in Indian Classical Music. Proceedings - 13th International Society for Music Information Retrieval Conference (ISMIR 2012).

4. Gulati, Sankalp & Bellur, Ashwin & Salamon, Justin & H.G., Ranjani & Ishwar, Vignesh & Murthy, Hema & Serra, Xavier. (2014). Automatic Tonic Identification in Indian Art Music: Approaches and Evaluation. Journal of New Music Research. 43. 10.1080/09298215.2013.875042.

5. S. Samsekai Manjabhat, Shashidhar G. Koolagudi, K. S. Rao & Pravin Bhaskar Ramteke (2017) Raga and Tonic Identification in Carnatic Music, Journal of New Music Research, 46:3, 229–245, DOI: 10.1080/09298215.2017.1330351

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