Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Frédéric Bimbot is active.

Publication


Featured researches published by Frédéric Bimbot.


international conference on acoustics, speech, and signal processing | 2002

A Monte-Carlo method for score normalization in Automatic Speaker Verification using Kullback-Leibler distances

Mathieu Ben; Raphaël Blouet; Frédéric Bimbot

In this paper, we propose a new score normalization technique in Automatic Speaker Verification (ASV): the D-Norm. The main advantage of this score normalization is that it does not need any additional speech data nor external speaker population, as opposed to the state-of-the-art approaches. The D-Norm is based on the use of Kullback-Leibler (KL) distances in an ASV context. In a first step. we estimate the KL distances with a Monte-Carlo method and we experimentally show that they are correlated with the verification scores. In a second step, we use this correlation to implement a score normalization procedure, the D-Norm. We analyse its performance and we compare it to that of a conventional normalization, the Z-Norm. The results show that performance of the D-Norm is comparable to that of the Z-Norm. We then conclude about the results we obtain and we discuss the applications of this work.


Speaker Classification II | 2007

Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria

Sacha Krstulovic; Frédéric Bimbot; Olivier Boëffard; Delphine Charlet; Dominique Fohr; Odile Mella

In the context of the Neologos French speech database creation project, a general methodology was defined for the selection of representative speaker recordings. The selection aims at providing a good coverage in terms of speaker variability while limiting the number of recorded speakers. This is intended to make the resulting database both more adapted to the development of recently proposed multi-model methods and less expensive to collect. The presented methodology proposes a selection process based on the optimization of a quality criterion defined in a variety of speaker similarity modeling frameworks. The selection can be achieved with respect to a unique similarity criterion, using classical clustering methods such as Hierarchical or K-Medians clustering, or it can combine several speaker similarity criteria, thanks to a newly developed clustering method called Focal Speakers Selection. In this framework, four different speaker similarity criteria are tested, and three different speaker clustering algorithms are compared. Results pertaining to the collection of the Neologos database are also discussed.


IEEE Workshop on Automatic Advanced Technologies | 1999

The Elisa'99 Speaker Recognition and Tracking Systems

B. Nedic; Guillaume Gravier; Jamal Kharroubi; Gérard Chollet; D. Petrovska-Delacretaz; Geoffrey Durou; Frédéric Bimbot; Raphaël Blouet; Mouhamadou Seck; J.-F Bonastre; Corinne Fredouille; Teva Merlin; Ivan Magrin-Chagnolleau; Stéphane Pigeon; Patrick Verlinde; J. Cernocky


Archive | 2008

A robust method to count, locate and separate audio sources in a multichannel underdetermined mixture

Simon Arberet; Rémi Gribonval; Frédéric Bimbot


Audio Engineering Society Conference: 53rd International Conference: Semantic Audio | 2014

Semiotic Description of Music Structure: an Introduction to the Quaero/Metiss Structural Annotations

Frédéric Bimbot; Gabriel Sargent; Emmanuel Deruty; Corentin Guichaoua; Emmanuel Vincent


MIREX - ISMIR 2010 | 2010

A structural segmentation of songs using generalized likelihood ratio under regularity assumptions

Gabriel Sargent; Frédéric Bimbot; Emmanuel Vincent


Journées d'Informatique Musicale 2010 | 2010

Un système de détection de rupture de timbre pour la description de la structure des morceaux de musique

Gabriel Sargent; Frédéric Bimbot; Emmanuel Vincent


Odyssey | 2004

Enhancing the robustness of Bayesian methods for text-independent automatic speaker verification.

Mathieu Ben; Frédéric Bimbot; Guillaume Gravier


The Music Information Retrieval Evaluation eXchange (MIREX), ISMIR 2012 | 2012

A MUSIC STRUCTURE INFERENCE ALGORITHM BASED ON MORPHOLOGICAL ANALYSIS

Gabriel Sargent; Frédéric Bimbot; Emmanuel Vincent


Archive | 2012

Methodological and musicological investigation of the System & Contrast model for musical form description

Emmanuel Deruty; Frédéric Bimbot; Brigitte Van Wymeersch

Collaboration


Dive into the Frédéric Bimbot's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Gabriel Sargent

Conservatoire national des arts et métiers

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Simon Arberet

École Polytechnique Fédérale de Lausanne

View shared research outputs
Top Co-Authors

Avatar

Daniel Moraru

Joseph Fourier University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge