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

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Improving non-native ASR through stochastic multilingual phoneme space transformations

Hervé Bourlard, Philip Neil Garner, John David Scott Dines, David Imseng

We propose a stochastic phoneme space transformation technique that allows the conversion of conditional source phoneme posterior probabilities (conditioned on the acoustics) into target phoneme posterior probabilities. The source and target phonemes can b ...

Idiap2011

Enhanced Phone Posteriors for Improving Speech Recognition Systems

Hervé Bourlard, Hamed Ketabdar

Using phone posterior probabilities has been increasingly explored for improving automatic speech recognition (ASR) systems. In this paper, we propose two approaches for hierarchically enhancing these phone posteriors, by integrating long acoustic context, ...

2010

Robust Discriminative Keyword Spotting for Emotionally Colored Spontaneous Speech using Bidirectional LSTM Networks

In this paper we propose a new technique for robust keyword spotting that uses bidirectional Long Short-Term Memory (BLSTM) recurrent neural nets to incorporate contextual information in speech decoding. Our approach overcomes the drawbacks of generative H ...

2009

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 ...

2006

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

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

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

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

Hervé Bourlard

2002

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