We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based
music information retrieval released under the Affero GPL license. It contains an extensive …

This thesis examines machine learning through the lens of human-computer interaction in
order to address fundamental questions surrounding the application of machine learning to …

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 …

For robots to plan their actions autonomously and interact with people, recognizing human
emotions is crucial. For most humans nonverbal cues such as pitch, loudness, spectrum …

This chapter reviews the basics of music and room acoustics perception, an overview of
auralization methods for the investigation of music performance and a series of studies …

Manually investigating sheet music collections is challenging for music analysts due to the
magnitude and complexity of underlying features, structures, and contextual information …

Abstract This paper proposes Temporal Echonest Features to harness the information
available from the beat-aligned vector sequences of the features provided by The Echo …

The task of recognizing a composer by listening to a musical piece used to be reserved for
experts in music theory. The problems we address here are, first, that of constructing an …

Looking for a piano sheet music with proper difficulty for a piano learner is always an
important work to his/her teacher. In the paper, we study on a new and challenging issue of …

The purpose of this study was to propose an effective model for recognizing the detailed
mood of classical music. First, in this study, the subject classical music was segmented via …