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

Related publications (72)

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Blending a MOOCs with interactive teaching

Pierre-Yves Gilliéron, Bertrand Merminod, Geoffrey Vincent

When Massive Open Online Courses became a hot topic in Europe. The Ecole Polytechnique Fédérale de Lausanne (EPFL) decided to take the challenge and launched an internal call for proposals. At the Geodetic Engineering Lab, we saw a possibility to use conta ...

2015

Beyond Knowledge Tracing. Modeling Skill Topologies with Bayesian Networks

Modeling and predicting student knowledge is a fundamental task of an intelligent tutoring system. A popular approach for student modeling is Bayesian Knowledge Tracing (BKT). BKT models, however, lack the ability to describe the hierarchy and relationship ...

Springer2014

Hippocampal volume predicts fluid intelligence in musically trained people

Dimitri Nestor Alice Van De Ville, François Lazeyras

Recently, age-related hippocampal (HP) volume loss could be associated with a decrease in general fluid intelligence (gF). In the present study we investigated whether and how extensive musical training modulates human HP volume and gF performance. Previou ...

Wiley-Blackwell2013

Guessing the fingerings from musical recordings

Paolo Prandoni, Arnaud Latty, Frederike Dümbgen

Synopsis: This project is about using musical recordings of string instruments to determine on which strings notes have been played. It includes the study of the spectral content of the recordings and the development of a robust classifica ...

2012

Multi-Set Point Intermittent Contact (MUSIC) Mode Atomic Force Microscopy of Oligothiophene Fibrils

Holger Frauenrath, Liangfei Tian, Ruth Szilluweit

We developed MUSIC-mode atomic force microscopy (AFM) to emulate intermittent contact mode AFM without a feedback loop and in the absence of lateral forces. This single-pass approach is based On maps of amplitude-phase-distance curves and allows the height ...

2012

Critiquing Recommenders for Public Taste Products

Pearl Pu Faltings, Maoan Zhou

Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommenders, they require relatively little user effort, especially initially, despit ...

ACM2009

A Computationally Efﬁcient Method for Polyphonic Pitch Estimation

Marco Mattavelli, Giorgio Zoia, Ruohua Zhou

This paper presents a computationally efficient method for polyphonic pitch estimation. The method employs the Fast Resonator Time-Frequency Image (RTFI) as the basic time-frequency analysis tool. The approach is composed of two main stages. First, a preli ...

2009

Probabilistic models for music

Jean-François Paiement

This thesis proposes to analyse symbolic musical data under a statistical viewpoint, using state-of-the-art machine learning techniques. Our main argument is to show that it is possible to design generative models that are able to predict and to generate m ...

EPFL2008

Probabilistic models for music

Jean-François Paiement

École Polytechnique Fédérale de Lausanne2008

Probabilistic Models for Melodic Prediction

Samy Bengio, Jean-François Paiement

Chord progressions are the building blocks from which tonal music is constructed. The choice of a particular representation for chords has a strong impact on statistical modeling of the dependence between chord symbols and the actual sequences of notes in ...

IDIAP2008