Music composition is an interesting problem that tests the creativity capacities of artificial intelligence. Creating original pieces of music is not much different than generating free text or any other form of sequential data such as stock price trends. We apply simple algorithms such as the n-gram model to explore the space of music composition. Then we explore the ability of the RNN and the...

The rapid emergence of file sharing networks has enabled easier information dissemination and product access to potential consumers. At the same time, copyright protection technologies for securing digital products have been compromised repeatedly. To analyze the ensuing impacts on the market landscape for music products (a digital good), we develop a stochastic model of distribution of music a...

We present a novel method for blind separation of instruments in polyphonic music based on a non-negative matrix factor 2-D deconvolution algorithm. Using a model which is convolutive in both time and frequency we factorize a spectrogram representation of music into components corresponding to individual instruments. Based on this factorization we separate the instruments using spectrogram mask...

The study of consumer tastes and preferences of individuals towards cultural goods including music can determine the type and structure of social relations and interaction between people in different social strata.Contrary to what is commonly believed to joy and entertainment, instrumental music is not the thing that can reflect the meaning of life in a community or group. This study aims to st...

This paper investigates the concept of variation in music from the perspective of music similarity. Music similarity is a central concept in Music Information Retrieval (MIR), however there exists no comprehensive approach to music similarity yet. As a consequence, MIR faces the challenge on how to relate musical features to the experience of similarity by listeners. Musicologists and studies i...

The main objectives of this study were (a) to elucidate young tennis players' use of music to manipulate emotional states, and (b) to present a model grounded in present data to illustrate this phenomenon and to stimulate further research. Anecdotal evidence suggests that music listening is used regularly by elite athletes as a preperformance strategy, but only limited empirical evidence corrob...