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We present the WASABI Song Corpus, a large corpus of songs enriched withmetadata extracted from music databases on the Web, and resulting from theprocessing of song lyrics and from audio analysis. More specifically, giventhat lyrics encode an important part of the semantics of a song, we focus hereon the description of the methods we proposed to extract relevant informationfrom the lyrics, such as their structure segmentation, their topics, theexplicitness of the lyrics content, the salient passages of a song and theemotions conveyed. The creation of the resource is still ongoing: so far, thecorpus contains 1.73M songs with lyrics (1.41M unique lyrics) annotated atdifferent levels with the output of the above mentioned methods. Such corpuslabels and the provided methods can be exploited by music search engines andmusic professionals (e.g. journalists, radio presenters) to better handle largecollections of lyrics, allowing an intelligent browsing, categorization andsegmentation recommendation of songs.

Love Me, Love Me, Say (and Write!) that You Love Me: Enriching the WASABI Song Corpus with Lyrics Annotations