Why should music be of interest to cognitive scientists, and what role does it play in human cognition? We review three factors that make music an important topic for cognitive scientific research. Fi...
Why is some music well-received whereas other music is not? Previous research has indicated the close temporal dependencies of neural activity among performers and among audiences. However, it is unkn...
What composers do The title of this collection, ‘The Act of Musical Composition: Studies in the Creative Process’, might be taken to carry with it some suppositions about the nature of possible answer...
We present progress towards a computational cognitive architecture, IDyOT (Information Dynamics of Thinking) that is intended to account for certain aspects of human creativity and other forms of cogn...
We present a preliminary study of using the information theoretic concept of cross entropy to measure musical contrast in a symbolic context, with a focus on melody. We measure cross entropy using the...
We investigate whether pitch sequences in non-tonal music can be modeled by an information-theoretic approach using algorithmically-generated melodic sequences, made according to 12-tone serial princi...
We introduce a method for imposing higher-level structure on generated, polyphonic music. A Convolutional Restricted Boltzmann Machine (C-RBM) as a generative model is combined with gradient descent c...
We explore the potential of a popular distributional semantics vector space model, word2vec , for capturing meaningful relationships in ecological (complex polyphonic) music. More precisely, the skip-...
We compare and discuss representations in two cognitive architectures aimed at representing and processing complex conceptual (sentence-like) structures. First is the Neural Blackboard Architecture (N...
Two themes in music cognition research are highlighted--inspired by the contributions in this volume: (a) statistical learning and (b) evolutionary theorizing. Our ability to test alternatives to stat...
This thesis is about algorithmic creation in the arts – where an artist, designer or composer uses a formal generative process to assist in crafting forms and patterns – and approaches to finding effe...
This thesis investigates the use of multidimensional control of synthesis parameters in electronic music, and the impact of controller mapping techniques on creativity. The theoretical contribution of...
This text offers a personal and very subjective view on the current situation of Music Information Research (MIR). Motivated by the desire to build systems with a somewhat deeper understanding of musi...
This position paper argues that fundamental principles that are exploited to achieve effective music generation can also shed light on the elusive question of why humans appreciate music, and which mu...
This paper presents a theory of the basic operation of mind, Information Dynamics of Thinking, which is intended for computational implementation and thence empirical testing. It is based on the infor...
This paper investigates methods for quantifying similarity between audio signals, specifically for the task of cover song detection. We consider an information-theoretic approach, where we compute pai...
This paper describes principles underlying the evocation of emotion with music: evaluation, resonance, memory, expectancy/tension, imagination, understanding, and social functions. Each of these princ...
This manifesto paper will introduce machine listening intelligence, an integrated research framework for acoustic and musical signals modelling, based on signal processing, deep learning and computati...
This chapter examines questions of what is to be analysed in computational music analysis, what is to be produced, and how one can have confidence in the results. These are not new issues for music an...
There is a clear connection to be made between psychologi- cal ndings regarding learning and memory and the areas of case-based reasoning (CBR) and computational creativity (CC). This paper aims to en...