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Learning to recognise talking faces

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Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition

Hervé Bourlard

This paper investigates a new approach to perform simultaneous speech and speaker recognition. The likelihood estimated by a speaker identification system is combined with the posterior probability estimated by the speech recognizer. So, the joint posterio ...

IDIAP2004

Posteriori Probabilities and Likelihoods Combination for Speech and Speaker Recognition

Hervé Bourlard

2004

Pedestrian head detection using automatic scale selection for feature detection and statistical edge curvature analysis

Jean-Philippe Thiran, Gianluca Antonini

In this report we focus on pedestrian head detection and tracking in video sequences. The task is not trivial in real and complex scenarios where the deformation induced by the perspective field requires a multi-scale analy- sis. Multi-scale shape models f ...

2004

HMM mixtures (HMM2) for robust speech recognition

Katrin Weber

State-of-the-art automatic speech recognition (ASR) techniques are typically based on hidden Markov models (HMMs) for the modeling of temporal sequences of feature vectors extracted from the speech signal. At the level of each HMM state, Gaussian mixture m ...

EPFL2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

Ecole Polytechnique Federale de Lausanne2003

HMM Mixtures (HMM2) for Robust Speech Recognition

Katrin Weber

IDIAP2003

Gaussian mixture models for on-line signature verification

Jonas Richiardi, Andrzej Drygajlo

This paper introduces and motivates the use of Gaussian Mixture Models (GMMs) for on-line signature verification. The individual Gaussian components are shown to represent some local, signer-dependent features that characterise spatial and temporal aspects ...

2003

Markov chain modeling of chaotic wandering in simple coupled chaotic circuits

Martin Hasler

In this study, chaotic wandering phenomenon observed in simple coupled chaotic circuits is modeled by Markov chains. As coupling parameter increases, the solution of the coupled chaotic circuits starts to wander chaotically over 6 different phase states wh ...

2001

EPFL lab session 2/2: Introduction to Hidden Markov Models

Sacha Krstulovic

Lab sessions given in relation to Herve Bourlard's Speech Recognition course at EPFL (Ecole Polytechnique Federale de Lausanne), second semester 2001. The full session is available from the web as ftp://ftp.idiap.ch/pub/sacha/labs/Session2.tgz . ...

IDIAP2001

Pronunciation models and their evaluation using confidence measures

Hervé Bourlard

In this report, we present preliminary experiments towards automatic inference and evaluation of pronunciation models based on multiple utterances of each lexicon word and their given baseline pronunciation model (baseform phonetic transcription). In the p ...

IDIAP2001