Add to ORKGInternational audienceThis paper presents preliminary works exploring the use of machine learning in computer-aided composition processes. We propose a work direction using motion recognition and audio descriptors to learn abstract musical gestures
Machine learning, signal processing and data mining are being combined to analyze audio content in a...
Research applying machine learning to music modeling and generation typically proposes model archite...
In this paper we present applications integrating two classic machine learning methods into a Comput...
This paper presents preliminary works exploring the use of machine learning in computer-aided compos...
International audienceWe report preliminary results of an ongoing project on automatic recognition a...
We present an overview of machine learning (ML) techniques and theirapplication in interactive music...
We present an overview of machine learning (ML) techniques and their application in interactive mus...
International audienceTechnologies for sensing movement are expanding toward everyday use in virtual...
This chapter explores three systems for mapping embodied gesture, acquired with electromyography and...
This paper presents a multidisciplinary case study of practice with machine learning for computer mu...
Machine learning is the capacity of a computational system to learn structures from datasets in orde...
We present a sonic interaction design approach that makes use of deep reinforcement learning to expl...
In this paper we discuss how the band 000000Swan uses machine learning to parse complex sensor data ...
International audienceIn this article, we describe our recent research activities on gesture recogni...
This paper presents the SARC EyesWeb Catalog, (SEC), a machine learning toolbox that has been specif...
Machine learning, signal processing and data mining are being combined to analyze audio content in a...
Research applying machine learning to music modeling and generation typically proposes model archite...
In this paper we present applications integrating two classic machine learning methods into a Comput...
This paper presents preliminary works exploring the use of machine learning in computer-aided compos...
International audienceWe report preliminary results of an ongoing project on automatic recognition a...
We present an overview of machine learning (ML) techniques and theirapplication in interactive music...
We present an overview of machine learning (ML) techniques and their application in interactive mus...
International audienceTechnologies for sensing movement are expanding toward everyday use in virtual...
This chapter explores three systems for mapping embodied gesture, acquired with electromyography and...
This paper presents a multidisciplinary case study of practice with machine learning for computer mu...
Machine learning is the capacity of a computational system to learn structures from datasets in orde...
We present a sonic interaction design approach that makes use of deep reinforcement learning to expl...
In this paper we discuss how the band 000000Swan uses machine learning to parse complex sensor data ...
International audienceIn this article, we describe our recent research activities on gesture recogni...
This paper presents the SARC EyesWeb Catalog, (SEC), a machine learning toolbox that has been specif...
Machine learning, signal processing and data mining are being combined to analyze audio content in a...
Research applying machine learning to music modeling and generation typically proposes model archite...
In this paper we present applications integrating two classic machine learning methods into a Comput...