Labeling data and developing supervised framework for hindi music mood analysis-Reference-Cited by-同舟云学术

Labeling data and developing supervised framework for hindi music mood analysis

Published:2016-11-10 Issue:3 Volume:48 Page:633-651
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Patra Braja Gopal^ORCID,Das Dipankar,Bandyopadhyay Sivaji

Funder

Department of Electronics and Information Technology, Ministry of Communications and Information Technology

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

http://link.springer.com/content/pdf/10.1007/s10844-016-0436-1.pdf

Reference44 articles.

1. Agarwal, P., Karnick, H., & Raj, B. (2013). A Comparative Study Of Indian And Western Music Forms. In Proceedings International Society for Music Information Retrieval (ISMIR) (pp. 29–34).

2. Bischoff, K., Firan, C.S., Paiu, R., Nejdl, W., Laurier, C., & Sordo, M. (2009). Music Mood and Theme Classification-a Hybrid Approach. In Proceedings International Society for Music Information Retrieval (ISMIR) (pp. 657–662).

3. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20(1), 37–46.

4. Cooper, D. (2000). The cinema of Satyajit Ray: between tradition and modernity Cambridge University Press.

5. Duncan, N., & Fox, M. (2005). Computer-aided music distribution: The future of selection, retrieval and transmission. First Monday, 10(4).

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