[month] [year]

ECIR 2021

Yudhik Agrawal, Ramaguru Guru Ravi Shanker and Vinoo Alluri  presented a paper online on Transformer-based approach towards music emotion recognition from lyrics at the 43rd European Conference on Information Retrieval (ECIR-2021), Lucca, Italy from 28 March to 1 April. Research work as explained by the authors:

The task of identifying emotions from a given music track has been an active pursuit in the Music Information Retrieval (MIR) community for years. Music emotion recognition has typically relied on acoustic features, social tags, and other metadata to identify and classify music emotions. The role of lyrics in music emotion recognition remains underappreciated in spite of several studies reporting superior performance of music emotion classifiers based on features extracted from lyrics. In this study, we use the transformer-based approach model using XLNet as the base architecture which, till date, has not been used to identify emotional connotations of music based on lyrics. Our proposed approach outperforms existing methods for multiple datasets. We used a robust methodology to enhance web-crawlers’ accuracy for extracting lyrics. This study has important implications in improving applications involved in playlist generation of music based on emotions in addition to improving music recommendation systems.

ECIR conference is a premier European forum for the presentation of new research results in the broadly conceived area of Information Retrieval (IR), and has a strong focus on the active participation of early-career researchers. Researchers, academicians, students, and industry leaders working in the field were invited to join online the program featuring full-paper and poster presentations, system demonstrations, tutorials, workshops, an industry-oriented event, and great social events.