Publications related to HMM2- Extraction of Formant Features and their Use for Robust ASR

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 ...

EPFL2005

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 ...

École Polytechnique Fédérale de Lausanne, Computer Science Department2005

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

Audio-Visual Speech Recognition with a Hybrid SVM-HMM System

Jean-Philippe Thiran, Mihai Gurban

Traditional speech recognition systems use Gaussian mixture models to obtain the likelihoods of individual phonemes, which are then used as state emission probabilities in hidden Markov models representing the words. In hybrid systems, the Gaussian mixture ...

EUSIPCO2005

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

Hervé Bourlard, Guillermo Aradilla

In a previous paper on speech recognition, we showed that templates can better capture the dynamics of speech signal compared to parametric models such as hidden Markov models. The key point in template matching approaches is finding the most similar templ ...

IDIAP2005

A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification

Samy Bengio

The purpose of this paper is to unify several of the state-of-the-art score normalization techniques applied to text-independent speaker verification systems. We propose a new framework for this purpose. The two well-known Z- and T-normalization techniques ...

2005

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

A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification

Samy Bengio

The purpose of this paper is to unify several of the state-of-the-art score normalization techniques applied to text-independent speaker verification systems. We propose a new framework for this purpose. The two well-known Z- and T-normalization techniques ...

IDIAP2004

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

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 ...

Ecole Polytechnique Federale de Lausanne2003

HMM2- Extraction of Formant Features and their Use for Robust ASR

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Using auxiliary sources of knowledge for automatic speech recognition

Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

Audio-Visual Speech Recognition with a Hybrid SVM-HMM System

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification

Towards Robust and Adaptive Speech Recognition Models

A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification

HMM mixtures (HMM2) for robust speech recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

HMM Mixtures (HMM2) for Robust Speech Recognition

Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

Audio-Visual Speech Recognition with a Hybrid SVM-HMM System

Using Auxiliary Sources of Knowledge for Automatic Speech Recognition

A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification

HMM mixtures (HMM2) for robust speech recognition

Towards Robust and Adaptive Speech Recognition Models

Using Pitch as Prior Knowledge in Template-Based Speech Recognition

A Unified Framework for Score Normalization Techniques Applied to Text Independent Speaker Verification

Using auxiliary sources of knowledge for automatic speech recognition