Multimodal mood classification framework for Hindi songs

Computacion y Sistemas

Volumn 20, Issue 3, 2016, Pages 515-526

  Patra, Braja Gopal ^a   Das, Dipankar ^a   Bandyopadhyay, Sivaji ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Audio; Hindi songs; Lyrics; Mood Classification; Mood Taxonomy; Multimodal Dataset

Indexed keywords

EID: 84989961242     PISSN: 14055546     EISSN: None     Source Type: Journal    
DOI: 10.13053/CyS-20-3-2461     Document Type: Article

References (39)

1. Abburi, H., Akkireddy, E. S. A., Gangashetty, S. V., & Mamidi, R. (2016). Multimodal sentiment analysis of telugu songs. Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016), pp. 48-52.
2. Bakliwal, A., Arora, P., & Varma, V. (2012). Hindi subjective lexicon: A lexical resource for hindi polarity classification. Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC).
3. Bischoff, K., Firan, C. S., Paiu, R., Nejdl, W., Laurier, C., & Sordo, M. (2009). Music mood and theme classification-A hybrid approach. Proceedings of the 10th International Society for Music Information Retrieval (ISMIR), pp. 657-662.
4. Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement, Vol. 20, No. 1.
5. Das, D., Poria, S., & Bandyopadhyay, S. (2012). A classifier based approach to emotion lexicon construction. Proceedings of the International Conference on Application of Natural Language to Information Systems, Springer, pp. 320-326.
6. Duncan, N. & Fox, M. (2005). Computer-Aided music distribution: The future of selection, retrieval and transmission. First Monday, Vol. 10, No. 4.
7. Fu, Z., Lu, G., Ting, K. M., & Zhang, D. (2011). A survey of audio-based music classification and annotation. IEEE Transactions on Multimedia, Vol. 13, No. 2, pp. 303-319.
8. Gopal, S. & Moorti, S. (2008). Global Bollywood: Travels of Hindi song and dance. U of Minnesota Press.
9. Hampiholi, V. (2012). A method for music classification based on perceived mood detection for Indian bollywood music. International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol. 6, No. 12, pp. 1636-1643.
10. Hevner, K. (1936). Experimental studies of the elements of expression in music. The American Journal of Psychology, Vol. 48, No. 2, pp. 246-268.
11. Hu, X. (2010). Music and mood: Where theory and reality meet. Proceedings of the iConference 2010.
12. Hu, X. & Downie, J. S. (2010). Improving mood classification in music digital libraries by combining lyrics and audio. Proceedings of the 10th annual joint conference on Digital libraries, ACM, pp. 159-168.
13. Hu, X. & Downie, J. S. (2010). When lyrics outperform audio for music mood classification: A feature analysis. Proceedings of the 11th International Society for Music Information Retrieval (ISMIR), pp. 619-624.
14. Hu, X., Downie, J. S., Laurier, C., Bay, M., & Ehmann, A. F. (2008). The 2007 mirex audio mood classification task: Lessons learned. Proceedings of the 9th International Society for Music Information Retrieval (ISMIR), pp. 462-467.
15. Joshi, A., Balamurali, A., & Bhattacharyya, P. (2010). A fall-back strategy for sentiment analysis in hindi: A case study.
16. Kim, Y. E., Schmidt, E. M., Migneco, R., Morton, B. G., Richardson, P., Scott, J., Speck, J. A., & Turnbull, D. (2010). Music emotion recognition: A state of the art review. Proceedings of the 11th International Society for Music Information Retrieval (ISMIR), pp. 255-266.
17. Koduri, G. K. & Indurkhya, B. (2010). A behavioral study of emotions in south indian classical music andits implications in music recommendation systems. Proceedings of the 2010 ACM workshop on Social, adaptive and personalized multimedia interaction and access, ACM, pp. 55-60.
18. Lamere, P. (2008). Social tagging and music information retrieval. Journal of New Music Research, Vol. 37, No. 2, pp. 101-114.
19. Laurier, C., Grivolla, J., & Herrera, P. (2008). Multimodal music mood classification using audio and lyrics. Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008. ICMLA08, IEEE, pp. 688-693.
20. Laurier, C., Sordo, M., Serra, J., & Herrera, P. (2009). Music mood representations from social tags. Proceedings of the 10th International Society for Music Information Retrieval (ISMIR), pp. 381-386.
21. Liu, D., Lu, L., & Zhang, H. (2003). Automatic mood detection from acoustic music data. Proceedings of the 4th International Society for Music Information Retrieval (ISMIR), pp. 81-87.
22. Lu, L., Liu, D., & Zhang, H.-J. (2006). Automatic mood detection and tracking of music audio signals. IEEE Transactions on audio, speech, and language processing, Vol. 14, No. 1, pp. 5-18.
23. McKay, C., Fujinaga, I., & Depalle, P. (2005). jaudio: A feature extraction library. Proceedings of the 6th International Conference on Music Information Retrieval, pp. 600-3.
24. Patra, B. G., Banerjee, S., Das, D., Saikh, T., & Bandyopadhyay, S. (2013). Automatic author profiling based on linguistic and stylistic features. Proceedings of the Notebook for PAN at CLEF.
25. Patra, B. G., Das, D., & Bandyopadhyay, S. (2013). Automatic music mood classification of hindi songs. Proceedings of the 3rd Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2013), pp. 24-28.
26. Patra, B. G., Das, D., & Bandyopadhyay, S. (2013). Unsupervised approach to hindi music mood classification. Proceedings of the Mining Intelligence and Knowledge Exploration, Springer, pp. 62-69.
27. Patra, B. G., Das, D., & Bandyopadhyay, S. (2015). Labeling data and developing supervised framework for hindi music mood analysis. Unpublished.
28. Patra, B. G., Das, D., & Bandyopadhyay, S. (2015). Mood classification of hindi songs based on lyrics. Proceedings of the 12th International Conference on Natural Language Processing (ICON-2015).
29. Patra, B. G., Das, D., & Bandyopadhyay, S. (2015). Music emotion recognition system. Proceedings of the International Symposium Frontiers of Research Speech and Music (FRSM-2015), pp. 114-119.
30. Patra, B. G., Maitra, P., Das, D., & Bandyopadhyay, S. (2015). Mediaeval 2015: Music emotion recognition based on feed-forward neural network. Proceedings of the MediaEval 2015 Workshop (2015).
31. Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, Vol. 39, No. 06, pp. 1161-1178.
32. Soleymani, M., Caro, M. N., Schmidt, E. M., Sha, C.-Y., & Yang, Y.-H. (2013). 1000 songs for emotional analysis of music. Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia, ACM, pp. 1-6.
33. Thayer, R. E. (1990). The biopsychology of mood and arousal. Oxford University Press.
34. Ujlambkar, A. M. (2012). Automatic mood classification of indian popular music. Masters thesis, College of Engineering, Pune.
35. Ujlambkar, A. M. & Attar, V. Z. (2012). Mood classification of indian popular music. Proceedings of the CUBE International Information Technology Conference, ACM, pp. 278-283.
36. Velankar, M. R. & Sahasrabuddhe, H. V. (2012). A pilot study of hindustani music sentiments. Proceedings of the 2nd Workshop on Sentiment Analysis where AI meets Psychology (COLING 2012), pp. 91-98.
37. Yang, D. & Lee, W.-S. (2004). Disambiguating music emotion using software agents. Proceedings of the 5th International Society for Music Information Retrieval (ISMIR), pp. 218-223.
38. Yang, Y.-H., Lin, Y.-C., Cheng, H.-T., Liao, I.-B., Ho, Y.-C., & Chen, H. H. (2008). Toward multi-modal music emotion classification. Proceedings of the Pacific-Rim Conference on Multimedia, Springer, pp. 70-79.
39. Zaanen, M. V. & Kanters, P. (2010). Automatic mood classification using tfidf based on lyrics. Proceedings of the 11th International Society for Music Information Retrieval (ISMIR), pp. 75-80.