This research provides a comparative study of the genre classification performance of deep-
learning and traditional machine-learning models. Furthermore, we investigate the …

This article describes the challenges posed by optical musicrecognition–a topic in computer
science that aims to convert scannedpages of music into an on-line format. First, the problem …

The system takes a sequence of audio files as input. In the GUI, users select the features that
they wish to have extracted—letting jAudio take care of all dependency problems—and …

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 paper describes a system for optical music recognition (OMR) in case of monophonic
typeset scores. After clarifying the difficulties specific to this domain, we propose appropriate …

Automatic detection of voice pathologies enables non-invasive, low cost and objective
assessments of the presence of disorders, as well as accelerating and improving the …

This chapter describes the issues involved in the detection and removal of stavelines of
musical scores. This removal process is an important step for many Optical Music …

In this paper we use content-based features to perform automatic classification of music
pieces into genres. We categorise these features into four groups: features extracted from …

The optical music recognition problem has been addressed in several ways, obtaining
suitable results only when simple music constructs are processed. The most critical phase of …