abstract: This creative project thesis involves electronic music composition and production, and it uses some elements of algorithmic music composition (through recurrent neural networks). Algorithmic composition techniques are used here as a tool in composing the pieces, but are not the main focus. Thematically, this project explores the analogy between artificial neural networks and neural activity in the brain. This project consists of three short pieces, each exploring these concept in different ways
This dissertation traces the history and development of algorithms in musical composition from ca. 1...
There are musical activities in which we are faced with symbolic and sub-symbolic processes. This re...
In this paper, we present an innovative Neural Network system interface that allows an electronic mu...
Main topic of the thesis is musical composition by means of computer, specifically usage of neural n...
In this paper we propose a framework to take the next step towards making creative machines. Taking ...
Music generation is increasingly recognized as an attractive field of study in Deep Learning. This p...
Abstract: In this paper a new approach to the simulation of musical compositions with the ...
This project attempts to develop a compositional approach where electro-acoustic music can be produc...
This project attempts to develop a compositional approach where electro-acoustic music can be produc...
The development of artificial intelligence (AI) methods like machine learning (ML) and deep learning...
The ability to generate original music is a significant milestone for the application of artificial ...
‘Continuous-Time Recurrent Neural Networks for Generative and Interactive Musical Performance’ was a...
Our aim in this paper is to darify the range of motivations that have inspired the development of co...
This thesis deals with problems of computer music, especially with generating accompaniment to an ex...
This dissertation’s goal is to construct a detailed map of the principal branches of cognitive scien...
This dissertation traces the history and development of algorithms in musical composition from ca. 1...
There are musical activities in which we are faced with symbolic and sub-symbolic processes. This re...
In this paper, we present an innovative Neural Network system interface that allows an electronic mu...
Main topic of the thesis is musical composition by means of computer, specifically usage of neural n...
In this paper we propose a framework to take the next step towards making creative machines. Taking ...
Music generation is increasingly recognized as an attractive field of study in Deep Learning. This p...
Abstract: In this paper a new approach to the simulation of musical compositions with the ...
This project attempts to develop a compositional approach where electro-acoustic music can be produc...
This project attempts to develop a compositional approach where electro-acoustic music can be produc...
The development of artificial intelligence (AI) methods like machine learning (ML) and deep learning...
The ability to generate original music is a significant milestone for the application of artificial ...
‘Continuous-Time Recurrent Neural Networks for Generative and Interactive Musical Performance’ was a...
Our aim in this paper is to darify the range of motivations that have inspired the development of co...
This thesis deals with problems of computer music, especially with generating accompaniment to an ex...
This dissertation’s goal is to construct a detailed map of the principal branches of cognitive scien...
This dissertation traces the history and development of algorithms in musical composition from ca. 1...
There are musical activities in which we are faced with symbolic and sub-symbolic processes. This re...
In this paper, we present an innovative Neural Network system interface that allows an electronic mu...