Lyrics contain repeated patterns that are correlated with the repetitions found in the music they accompany. Repetitions in song texts have been shown to enable lyrics segmentation–a fundamental prerequisite of automatically detecting the building blocks (eg chorus, verse) of a song text. In this article we improve on the state-of-the-art in lyrics segmentation by applying a convolutional neural network to the task, and experiment with novel features as a step towards deeper macrostructure detection of lyrics.

Lyrics Segmentation: Textual Macrostructure Detection using Convolutions

Yaroslav Nechaev;Elena Cabrio;
2018-01-01

Abstract

Lyrics contain repeated patterns that are correlated with the repetitions found in the music they accompany. Repetitions in song texts have been shown to enable lyrics segmentation–a fundamental prerequisite of automatically detecting the building blocks (eg chorus, verse) of a song text. In this article we improve on the state-of-the-art in lyrics segmentation by applying a convolutional neural network to the task, and experiment with novel features as a step towards deeper macrostructure detection of lyrics.
2018
Les paroles de chansons contiennent des passages qui se répètent et sont corrélés aux répétitions trouvé dans la musique qui les accompagne. Ces répétitions dans les textes de chansons ont montré leur utilité pour la segmentation des paroles qui est une étape préalable fondamentale dans la détection automatique des blocs de construction d’une chanson (ex. le refrain, les couplets). Dans cet article, nous améliorons l’état de l’art de la segmentation des paroles en concevant un réseau de neurones convolutif pour cette tâche et expérimentons de nouvelles caractéristiques pour aller vers une détection plus profonde de la macrostructure des paroles.
978-1-948087-50-6
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/317924
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