Person

Hervé Bourlard

Related publications (367)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Unsupervised Spectral Substraction for Noise-Robust ASR

Hervé Bourlard, Guillaume Lathoud, Bertrand Mesot

This paper proposes a simple, computationally efficient \mbox{2-mixture} model approach to discriminate between speech and background noise at the magnitude spectrogram level. It is directly derived from observations on real data, and can be used in a full ...

IDIAP2005

Threshold Selection for Unsupervised Detection, with an Application to Microphone Arrays

Hervé Bourlard, Jean-Marc Odobez, Guillaume Lathoud

Detection is usually done by comparing some criterion to a threshold. It is often desirable to keep a performance metric such as False Alarm Rate constant across conditions. Using training data to select the threshold may lead to suboptimal results on test ...

IDIAP2005

Spectral Entropy Feature in Full-Combination Multi-Stream for Robust ASR

Hervé Bourlard, Hemant Misra

In a recent paper, we reported promising automatic speech recognition results obtained by appending spectral entropy features to PLP features. In the present paper, spectral entropy features are used along with PLP features in the framework of multi-stream ...

2005

Spectral Entropy Feature in Full-Combination Multi-stream for Robust ASR

Hervé Bourlard, Hemant Misra

IDIAP2005

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

Audio segmentation, in general, is the task of segmenting a continuous audio stream in terms of acoustically homogenous regions, where the rule of homogeneity depends on the task. This thesis aims at developing and investigating efficient, robust and unsup ...

IDIAP2004

Robust Audio Segmentation

Hervé Bourlard, Jitendra Ajmera

École Polytechnique Fédérale de Lausanne2004

Text Detection and Recognition in Images and Videos

Hervé Bourlard, Jean-Marc Odobez, Datong Chen

Text embedded in images and videos represents a rich source of information for content-based indexing and retrieval applications. In this paper, we present a new method for localizing and recognizing text in complex images and videos. Text localization is ...

2004

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

Modelling Auxiliary Features in Tandem Systems

Hervé Bourlard, Shajith Ikbal

Tandem systems transform the cepstral features into posterior probabilities of subword units using artificial neural networks (ANNs), which are processed to form input features for conventional speech recognition systems. They have been shown to perform be ...

2004

Confidence Measures in Multiple pronunciations Modeling For Speaker Verification

Hervé Bourlard

This paper investigates the use of multiple pronunciations modeling for User-Customized Password Speaker Verification (UCP-SV). The main characteristic of the UCP-SV is that the system does not have any {\it a priori} knowledge about the password used by t ...

2004