G
Gilles Boulianne
Researcher at École de technologie supérieure
Publications - 77
Citations - 8385
Gilles Boulianne is an academic researcher from École de technologie supérieure. The author has contributed to research in topics: Speaker recognition & Word error rate. The author has an hindex of 19, co-authored 73 publications receiving 7592 citations. Previous affiliations of Gilles Boulianne include Institut national de la recherche scientifique.
Papers
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Proceedings Article
The Kaldi Speech Recognition Toolkit
Daniel Povey,Arnab Ghoshal,Gilles Boulianne,Lukas Burget,Ondrej Glembek,Nagendra Kumar Goel,Mirko Hannemann,Petr Motlicek,Yanmin Qian,Petr Schwarz,Jan Silovsky,Georg Stemmer,Karel Vesely +12 more
TL;DR: The design of Kaldi is described, a free, open-source toolkit for speech recognition research that provides a speech recognition system based on finite-state automata together with detailed documentation and a comprehensive set of scripts for building complete recognition systems.
Journal ArticleDOI
Joint Factor Analysis Versus Eigenchannels in Speaker Recognition
TL;DR: It is shown how the two approaches to the problem of session variability in Gaussian mixture model (GMM)-based speaker verification, eigenchannels, and joint factor analysis can be implemented using essentially the same software at all stages except for the enrollment of target speakers.
Journal ArticleDOI
Eigenvoice modeling with sparse training data
TL;DR: This work derives an exact solution to the problem of maximum likelihood estimation of the supervector covariance matrix used in extended MAP (or EMAP) speaker adaptation and shows how it can be regarded as a new method of eigenvoice estimation.
Journal ArticleDOI
Speaker and Session Variability in GMM-Based Speaker Verification
TL;DR: A corpus-based approach to speaker verification in which maximum-likelihood II criteria are used to train a large-scale generative model of speaker and session variability which is called joint factor analysis is presented.
Proceedings ArticleDOI
Generating exact lattices in the WFST framework
Daniel Povey,Mirko Hannemann,Gilles Boulianne,Lukas Burget,Arnab Ghoshal,Milos Janda,Martin Karafiat,Stefan Kombrink,Petr Motlicek,Yanmin Qian,Korbinian Riedhammer,Karel Vesely,Ngoc Thang Vu +12 more
TL;DR: A lattice generation method that is exact, i.e. it satisfies all the natural properties the authors would want from a lattice of alternative transcriptions of an utterance, and does not introduce substantial overhead above one-best decoding.