Art

Music

Relational IBL in classical music

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It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instance- and distance-based approach. In this work we present another difficult task: learning, from large number

The music experience questionnaire: Development and correlates
Music

The music experience questionnaire: Development and correlates

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The authors introduce the Music Experience Questionnaire (MEQ), a self-report measure of individual differences in reactions to music. In analyses of responses in a derivation sample of 211 undergraduates and a replication sample of 105 undergraduates, sc

Music

On the biology and evolution of music

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I SUGGEST THAT THE QUESTION of whether music is an adaptation has been overemphasized in recent discussions of the biology and evolution of music, because the subtleties of this question combine with our poor fossil record for musical abilities of extinct

Music

Toward intelligent music information retrieval

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Efficient and intelligent music information retrieval is a very important topic of the 21st century. With the ultimate goal of building personal music information retrieval systems, this paper studies the problem of intelligent music information retrieval

Music

Multifractal analyses of music sequences

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Multifractal analysis is applied to study the fractal property of music. In this paper, a method is proposed to transform both the melody and rhythm of a music piece into individual sets of distributed points along a one-dimensional line. The structure of

Automatic mood detection and tracking of music audio signals
Music

Automatic mood detection and tracking of music audio signals

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Music mood describes the inherent emotional expression of a music clip. It is helpful in music understanding, music retrieval, and some other music-related applications. In this paper, a hierarchical framework is presented to automate the task of mood det