Attention-based Transformer models have been increasingly employed for automatic music
generation. To condition the generation process of such a model with a user-specified …

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 …

La classification automatique de la musique est un vaste domaine de recherche,
multidisciplinaire par nature, et qui donne lieu à des avancées significatives tant du point de …

In this paper, we investigate the problem of automatic singer identification, detection and
tracking in popular music recordings with one or multiple singers. This problem reflects an …

Mining sequential patterns in large databases is an important research topic. The main
challenge of mining sequential patterns is the high processing cost due to the large amount …

Music and songs usually have repeating patterns and prominent structure. The automatic
extraction of such repeating patterns and structure is useful for further music summarization …

The automated discovery of recurrent patterns in music is a fundamental task in
computational music analysis. This paper describes a new method for discovering patterns …

A software system that automatically classifies MIDI files into hierarchically organized
taxonomies of musical genres is presented. This extensible software includes an easy to use …

For more than a decade, music information science and musicology have been at what
Nicholas Cook has described as a'moment of opportunity'for collaboration on database …

Most musical compositions utilize repetition as a fundamental element to create captivating
aesthetic experiences. However, the potential of repetition in machine-learning-based …