Much work is focused upon music genre recognition (MGR) from audio recordings, symbolic
data, and other modalities. While reviews have been written of some of this work before, no …

We present a novel approach for analysing and classifying lyrics, experimenting both with
ngram models and more sophisticated features that model different dimensions of a song …

Music genre classification, especially using lyrics alone, remains a challenging topic in
Music Information Retrieval. In this study we apply recurrent neural network models to …

Music is present in everyday life and used for a wide range of objectives. Musical databases
have considerably increased in number and size over the past years, therefore, the …

Music information retrieval (MIR) is “a multidisciplinary research endeavor that strives to
develop innovative content‐based searching schemes, novel interfaces, and evolving …

Music Genre Classification is a significant and practical field of Music Information Retrieval.
Deep learning is increasingly being applied to Music Genre Classification for two main …

This paper presents a lyrics retrieval system called LyricsRadar that enables users to
interactively browse song lyrics by visualizing their topics. Since conventional lyrics retrieval …

Music is a widely enjoyed content type, existing in many multifaceted representations. With
the digital information age, a lot of digitized music information has theoretically become …

Music genre is an important feature to identify a musical work. Thus, it is the most used label
to organize musical datasets. However, this label is not always available and its …

Musical genre classification is put into context by explaining about the structures in music
and how it is analyzed and perceived by humans. The increase of the music databases on …