Learn More
The prominent status of music in human culture and every day life is due in large part to its striking ability to elicit emotions, which may manifest from slight variation in mood to changes in our physical condition and actions. In this paper, we first review state of the art studies on music and emotions from different disciplines including psychology,(More)
Without a rich understanding of user behaviours and needs, music information retrieval (MIR) systems might not be ideally suited to their potential users. In this study, we followed an ethnographic methodology to elicit some of the strategies used by musicologists to explore and document musical performances, in order to investigate if and how technologies(More)
This paper presents preliminary work on musical instruments ontology design, and investigates heterogene-ity and limitations in existing instrument classification schemes. Numerous research to date aims at representing information about musical instruments. The works we examined are based on the well known Hornbostel and Sach's classification scheme. We(More)
Musical interpretation is an intricate process due to the interaction of the musician's gesture and the physical possibilities of the instrument. From a perceptual point of view, these elements induce variations in rhythm, acoustical energy and timbre. This study aims at showing the importance of timbre variations as an important attribute of musical(More)
Music recommendation systems built on top of music information retrieval (MIR) technologies are usually designed to provide new ways to discover and listen to digital music collections. However, they do not typically assist in another important aspect of musical activity, music learning. In this study we present the application Hotttabs, an online music(More)
The work presented here is part of a larger project directed toward a better understanding of the influence of timbre variations upon musical expressiveness. To address such an issue, we have limited our study to the relationship between the physics and playing of the clarinet, and the generated timbre. This reduction of the problem is justified by the fact(More)
This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling are proposed. A technique called the ACTwg employs genre-adaptive(More)