Personne

Hervé Bourlard

Publications associées (367)

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Entropy-based Multi-stream Combination

Hervé Bourlard, Hemant Misra, Vivek Tyagi

Full-combination multi-band approach has been proposed in the literature and performs well for band-limited noise. But the approach fails to deliver in case of wide-band noise. To overcome this, multi-stream approaches are proposed in literature with varyi ...

IDIAP2002

User-Customized Password HMM Based Speaker Verification

Hervé Bourlard

is presented. The system has no {\it a priori} knowledge of passwords. A hybrid HMM/ANN system is used to infer the phonetic transcription of the password. The emission probabilities are then modeled by a multi-Gaussians HMM model. Evaluation experiments, ...

IDIAP2002

User-Customized Password HMM Based Speaker Verification

Hervé Bourlard

2002

Robust Speaker Change Detection

Hervé Bourlard, Jitendra Ajmera

Most commonly used criteria for speaker change detection like log likelihood ratio (LLR) and Bayesian information criterion (BIC) have an adjustathreshold/penalty parameter to make speaker change decisions. These parameters robust to different acoustic con ...

IDIAP2002

Modeling Human Interaction in Meetings

Hervé Bourlard, Daniel Gatica-Perez, Samy Bengio, Guillaume Lathoud, Darren Moore, Florent Monay Michaud

This paper investigates the recognition of group actions in meetings by modeling the joint behaviour of participants. Many meeting actions, such as presentations, discussions and consensus, are characterised by similar or complementary behaviour across par ...

IDIAP2002

User Customized HMM/ANN Based Speaker Verification

Hervé Bourlard

In this paper, we describe a new speaker verification approach, using a hybrid HMM/ANN system, and accommodating user customized passwords. This system is exploiting the high phonetic recognition rates usually achieved by HMM/ANN speaker independent system ...

IDIAP2001

Robust HMM-Based Speech/Music Segmentation

Hervé Bourlard, Jitendra Ajmera

In this paper we present a new approach towards high performance speech/music segmentation on realistic tasks related to the automatic transcription of broadcast news. In the approach presented here, the local probability density function (PDF) estimators ...

IDIAP2001

Speech/Music Discrimination using Entropy and Dynamism Features in a HMM Classification Framewor

Hervé Bourlard, Jitendra Ajmera

In this paper, we present a new approach towards high performance speech/music discrimination on realistic tasks related to the automatic transcription of broadcast news. In the approach presented here, the (local) Probability Density Function (PDF) estima ...

IDIAP2001

From missing data to maybe useful data: soft data modelling for noise robust ASR

Hervé Bourlard

Much research has been focused on the problem of achieving automatic speech recognition (ASR) which approaches human recognition performance in its level of robustness to noise and channel distortion. We present here a new approach to data modelling which ...

2001

Mixed Bayesian Networks with Auxiliary Variables for Automatic Speech Recognition

Hervé Bourlard

Standard hidden Markov models (HMMs), as used in automatic speech recognition (ASR), calculate their emission probabilities by an artificial neural network (ANN) or a Gaussian distribution conditioned on the hidden state variable, considering the emissions ...

IDIAP2001