Segregating Musical Chords for Automatic Music Transcription: A LSTM-RNN Approach-Reference-Cited by-同舟云学术

Segregating Musical Chords for Automatic Music Transcription: A LSTM-RNN Approach

Published:2019 Issue: Volume: Page:427-435
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Mukherjee Himadri,Dhar Ankita,Obaidullah Sk. Md.,Santosh K. C.,Phadikar Santanu,Roy Kaushik

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-34872-4_47

Reference18 articles.

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2. Benetos, E., Dixon, S., Giannoulis, D., Kirchhoff, H., Klapuri, A.: Automatic music transcription: challenges and future directions. J. Intell. Inf. Syst. 41(3), 407–434 (2013)

3. Bereket, M., Shi, K.: An AI approach to automatic natural music transcription (2017)

4. Cheng, H.T., Yang, Y.H., Lin, Y.C., Liao, I.B., Chen, H.H.: Automatic chord recognition for music classification and retrieval. In: 2008 IEEE International Conference on Multimedia and Expo, pp. 1505–1508. IEEE (2008)

5. Costantini, G., Casali, D.: Recognition of musical chord notes. WSEAS Trans. Acoust. Music 1(1), 17–20 (2004)

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