Natural language processing of lyrics
Journal: ACM International Conference on Multimedia (ACM MM)
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Abstract
We report experiments on the use of standard natural language processing (NLP) tools for the analysis of music lyrics. A significant amount of music audio has lyrics. Lyrics encode an important part of the semantics of a song, therefore their analysis complements that of acoustic and cultural metadata and is fundamental for the development of complete music information retrieval systems. Moreover, a textual analysis of a song can generate ground truth data that can be used to validate results from purely acoustic methods. Preliminary results on language identification, structure extraction, categorization and similarity searches suggests that a lot of profit can be gained from the analysis of lyrics.
Subjects & Keywords
How to Cite this Article
Jose P. G. Mahedero, Álvaro Parafita Martínez, Pedro Cano, et al. (2005). "Natural language processing of lyrics". ACM International Conference on Multimedia (ACM MM). https://doi.org/10.1145/1101149.1101255