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The Learnability of the Grammar of Jazz: Bayesian Inference of Hierarchical Structures in Harmony

Publications associées (72)

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Computational models in the debate over language learnability

Frédéric Kaplan

Computational models have played a central role in the debate over language learnability. This article discusses how they have been used in different stances, from generative views to more recently introduced explanatory frameworks based on embodiment, cog ...

2008

A Probabilistic Model for Chord Progressions

Samy Bengio, Jean-François Paiement

Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, a distributed representation for chords is designed su ...

2005

A Probabilistic Model for Chord Progressions

Samy Bengio, Jean-François Paiement

IDIAP2005

Chord Representations for Probabilistic Models

Samy Bengio, Jean-François Paiement

Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, three different representations for chords are designe ...

IDIAP2005

A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space

Samy Bengio, Jean-François Paiement

2005

A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space

Samy Bengio, Jean-François Paiement

IDIAP Research Institute2005

Grammar-Based Tree Compression

Grammar-based compression means to find a small grammar that generates a given object. Such a grammar reveals the structure of the object (according to the grammar formalism used); the main advantage of this compression method is that the resulting grammar ...

2004

Music on the go: Catching the next growth opportunity for the music recording industry

Christopher Tucci

Catching the next growth opportunity for the music recording industry ...

2004

Two approaches to Robust Stochastic Parsing

Marita Ailomaa

NLP applications in all domains require more than a formal grammar to process the input in a practical way, because natural language contains phenomena that a formal grammar is usually not able to describe. Such phenomena are typically disfluencies and ext ...

2004

The Wall Street Journal experiment (and useful programs)

Antoine Rozenknop

This document gives information on parsing experiments applied to the standard Wall Street Journal corpus (``Standard'' means that this corpus has been widely used for exhibiting parsing tests of various models). The tested syntactic models are : standard ...

2004