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Phonetic aware techniques for Speaker Verification

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Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

Standard hidden Markov model (HMM) based automatic speech recognition (ASR) systems usually use cepstral features as acoustic observation and phonemes as subword units. Speech signal exhibits wide range of variability such as, due to environmental variatio ...

IDIAP2005

Joint Speech and Speaker Recognition

The goal of the present thesis was to investigate and optimize different approaches towards User-Customized Password Speaker Verification (UCP-SV) systems. In such systems, users can choose their own passwords, which will be subsequently used for verificat ...

IDIAP2005

Joint Speech and Speaker Recognition

École Polytechnique Fédérale de Lausanne, Computer Science Department2005

On Variable-Scale Piecewise Stationary Spectral Analysis of Speech Signals for ASR

Hervé Bourlard, Vivek Tyagi

It is often acknowledged that speech signals contain short-term and long-term temporal properties that are difficult to capture and model by using the usual fixed scale (typically 20ms) short time spectral analysis used in hidden Markov models (HMMs), base ...

IDIAP2005

Towards Robust and Adaptive Speech Recognition Models

Hervé Bourlard, Samy Bengio, Katrin Weber

In this paper, we discuss a family of new Automatic Speech Recognition (ASR) approaches, which somewhat deviate from the usual ASR approaches but which have recently been shown to be more robust to nonstationary noise, without requiring specific adaptation ...

Springer2004

Multimodal Group Action Clustering in Meetings

Daniel Gatica-Perez, Samy Bengio, Guillaume Lathoud, Dong Zhang

We address the problem of clustering multimodal group actions in meetings using a two-layer HMM framework. Meetings are structured as sequences of group actions. Our approach aims at creating one cluster for each group action, where the number of group act ...

IDIAP2004

Multimodal Group Action Clustering in Meetings

Daniel Gatica-Perez, Samy Bengio, Guillaume Lathoud, Dong Zhang

2004

Phoneme vs Grapheme Based Automatic Speech Recognition

Hervé Bourlard, Hynek Hermansky, John David Scott Dines

In recent literature, different approaches have been proposed to use graphemes as subword units with implicit source of phoneme information for automatic speech recognition. The major advantage of using graphemes as subword units is that the definition of ...

IDIAP2004

User-Customized Password Speaker Verification Using Multiple Reference and Background Models

Hervé Bourlard

This paper discusses and optimizes an HMM/GMM based User-Customized Password Speaker Verification (UCP-SV) system. Unlike text-dependent speaker verification, in UCP-SV systems, customers can choose their own passwords with no lexical constraints. The pass ...

IDIAP2004

User-Customized Password Speaker Verification based on HMM/ANN and GMM Models

Hervé Bourlard

In this paper, we present a new approach towards user-custom-ized password speaker verification combining the advantages of hybrid HMM/ANN systems, using Artificial Neural Networks (ANN) to estimate emission probabilities of Hidden Markov Models, and Gaus ...

IDIAP2002