In this paper, we explore the classification of emotions in songs, using the music and the
lyrics representation of the songs. We introduce a novel corpus of music and lyrics …

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 …

The extraction of pitch information is arguably one of the most important tasks in automatic
music description systems. However, previous research and evaluation datasets dealing …

Recent research in music genre classification hints at a glass ceiling being reached using
timbral audio features. To overcome this, the combination of multiple different feature sets …

In this paper, we present melody2vec, an extension of the word2vec framework to melodies.
To apply the word2vec framework to a melody, a definition of a word within a melody is …

This dissertation presents, discusses, and sheds some light on the problems that appear
when computers try to automatically classify musical genres from audio signals. In particular …

In recent years, there has been an increasing interest in music generation using machine
learning techniques typically used for classification or regression tasks. This is a field still in …

Melody identification is an important early step in music analysis. This paper presents a tool
to identify the melody in each measure of a Standard MIDI File. We also share an open …

Nowadays, the availability of huge amount of music stored in digital format in public or
personal collections creates problems for their organization and for locating information …

Since it is the most natural way for people to search a specific melody in large music
database, query by humming/singing is attracting more and more researcherspsila attention …