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Feature distribution modelling techniques for 3D face recognition

Related publications (42)

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Speaker Normalization using HMM2

Hervé Bourlard, Katrin Weber, Shajith Ikbal

In this paper, we present an HMM2 based method for speaker normalization. Introduced as an extension of Hidden Markov Model (HMM), HMM2 differentiates itself from the regular HMM in terms of the emission density modeling, which is done by a set of state-de ...

IDIAP2002

Speaker Normalization using HMM2

Hervé Bourlard, Katrin Weber, Shajith Ikbal

2002

Validation of Tissue Modelization and Classification Techniques in T1-Weighted MR Brain Images

Jean-Philippe Thiran, Meritxell Bach Cuadra, Torsten Butz, Bram Platel

We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this validation study. Two of them are based on Finite Gaussian Mixture (FGM) model. The first o ...

EUSIPCO2002

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

IDIAP HMM/HMM2 System: Theoretical Basis and Software Specifications

Hervé Bourlard, Samy Bengio, Katrin Weber, Shajith Ikbal

State-of-the-art Automatic Speech Recognition (ASR) systems make extensive use of Hidden Markov Models (HMMs), characterized by flexible statistical modeling, powerful optimization (training) techniques and efficient recognition algorithms. When allowed by ...

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

HMM2- A Novel Approach to HMM Emission Probability Estimation

Hervé Bourlard, Samy Bengio, Katrin Weber

In this paper, we discuss and investigate a new method to estimate local emission probabilities in the framework of hidden Markov models (HMM). Each feature vector is considered to be a sequence and is supposed to be modeled by yet another HMM. Therefore, ...

IDIAP2000

HMM2- A Novel Approach to HMM Emission Probability Estimation

Hervé Bourlard, Samy Bengio, Katrin Weber

2000

Combining Wavelet-domain Hidden Markov Trees with Hidden Markov Models

In this paper, the concept of Wavelet-domain Hidden Markov Trees (WHMT) is introduced to Automatic Speech Recognition. WHMT are a convenient means to model the structure of wavelet feature vectors, as wavelet coefficients can be interpreted as nodes in a b ...

IDIAP1999

Visual Speech and Speaker Recognition

This thesis presents a learning based approach to speech recognition and person recognition from image sequences. An appearance based model of the articulators is learned from example images and is used to locate, track, and recover visual speech features. ...

University of Sheffield1997