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Internet of Musical Things: Vision and Challenges
This paper presents a vision in which the IoMusT enables the connection of digital and physical domains by means of appropriate information and communication technologies, fostering novel musical applications and services and identifies key capabilities missing from today's systems.
Multidisciplinary Perspectives on Music Emotion Recognition: Implications for Content and Context-Based Models
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
Open band: Audience Creative Participation Using Web Audio Synthesis
This work investigates a web-based open environment enabling collaborative music experiences. We propose an artifact, Open Band, which enables collective sound dialogues in a web “agora”, blurring
Music Emotion Recognition: From Content- to Context-Based Models
A thorough review of studies on the relation of music and emotions from different disciplines and proposed new insights to enhance automated music emotion recognition models using recent results from psychology, musicology, affective computing, semantic technologies and music information retrieval are provided.
Open Symphony: Creative Participation for Audiences of Live Music Performances
Open Symphony is designed to explore audience-performer interaction in live music performances, assisted by digital technology, and identified further design challenges around audience sense of control, learnability, and compositional structure.
From Clarinet Control to Timbre Perception
This study investigates the relationships between the control gestures of the clarinet, the generated timbres and their perceptual representation. The understanding of such relationships can provide
A Web Application for Audience Participation in Live Music Performance: The Open Symphony Use Case
A web-based application enabling audiences to collaboratively contribute to the creative process during live music performances and enhancing audience engagement and creating new forms of live music experiences is presented.
Acoustical Correlates of Timbre and Expressiveness in Clarinet Performance
This study deals with the acoustical factors liable to account for expressiveness in clarinet performances. Mechanical and expressive performances of excerpts from Bach9s Suite No. II and Mozart9s
Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation
Improvements in the prediction rates are obtained for the valence dimension which is typically the most challenging core affect dimension for audio-based annotation, and the results show that ACTwg outperforms a semantic computing technique that does not exploit genre information, and ACTwG-SLPwG outperforms conventional techniques and other genre-adaptive alternatives.
Towards the Internet of Musical Things
The paper presents the main concepts of IoMUT and discusses the related implications and challenges of the Internet of Musical Things.