• Publications
  • Influence
Improving Timbre Similarity : How high’s the sky ?
TLDR
Many variants that surprisingly do not lead to any substancial improvement are described, suggesting the existence of a “glass ceiling” at R-precision about 65% which cannot probably be overcome by pursuing such variations on the same theme. Expand
Music Similarity Measures: What's the use?
TLDR
A timbral similarity measures for comparing music titles is introduced based on a Gaussian model of cepstrum coefficients and it is shown that the measure is able to yield interesting similarity relations, in particular when used in conjunction with other similarity relations. Expand
The Continuator: Musical Interaction With Style
  • F. Pachet
  • Computer Science
  • ICMC
  • 1 September 2003
TLDR
The Continuator is a system that bridges the gap between two classes of traditionally incompatible musical systems, based on a Markov model of musical styles augmented to account for musical issues such as management of rhythm, beat, harmony, and imprecision. Expand
Representing Musical Genre: A State of the Art
TLDR
This article discusses the various approaches in representing musical genre, and proposes to classify these approaches in three main categories: manual, prescriptive and emergent approaches. Expand
The bag-of-frames approach to audio pattern recognition: a sufficient model for urban soundscapes but not for polyphonic music.
TLDR
This paper proposes to explicitly examine the difference between urban soundscapes and polyphonic music with respect to their modeling with the BOF approach, and reveals critical differences in the temporal and statistical structure of the typical frame distribution of each type of signal. Expand
A taxonomy of musical genres
TLDR
This work describes a novel music genre taxonomy based on a few guiding principles, and reports on the process of building this taxonomy. Expand
Deep Learning Techniques for Music Generation - A Survey
TLDR
This paper is a survey and an analysis of different ways of using deep learning (deep artificial neural networks) to generate musical content, based on the analysis of many existing deep-learning based systems for music generation selected from the relevant literature. Expand
A scale-free distribution of false positives for a large class of audio similarity measures
TLDR
It is found that in typical music databases, hubs are distributed along a scale-free distribution, and this suggests that the existence of hubs could be an important phenomenon which generalizes over the specific problem of music modelling, and indicates a general structural property of an important class of pattern recognition algorithms. Expand
FINDING SONGS THAT SOUND THE SAME
A crucial dimension of Content-based music management systems is their ability to compute automatically similarities be tween music titles. We propose a technique that allows users to find mu sicExpand
NéoGanesh: a working system for the automated control of assisted ventilation in ICUs
TLDR
NéoGanesh is described, a knowledge-based system which controls, in closed-loop, the mechanical assistance provided to patients hospitalized in intensive care units, and it is reported on how new advances in knowledge representation techniques have been used to model medical expertise. Expand
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