Publication

Multi-stream adaptive evidence combination for noise robust ASR

Publications associées (53)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

On the Combination of Speech and Speaker Recognition

Hervé Bourlard

This paper investigates an approach that maximizes the joint posterior probabil ity of the pronounced word and the speaker identity given the observed data. This probability can be expressed as a product of the posterior probability of the pronounced word ...

2003

Noise Reduction by Fuzzy Image Filtering

Dimitri Nestor Alice Van De Ville

A new fuzzy filter is presented for the noise reduction of images corrupted with additive noise. The filter consists of two stages. The first stage computes a fuzzy derivative for eight different directions. The second stage uses these fuzzy derivatives to ...

IEEE2003

Confusion matrix based posterior probabilities correction

Hemant Misra

An MLP classifier outputs a posterior probability for each class. With noisy data classification becomes less certain and the entropy of the posteriors distribution tends to increase, therefore providing a measure of classification confidence. However, at ...

IDIAP2002

Robust speech recognition based on multi-stream processing

Astrid Hagen

Despite sophisticated present day automatic speech recognition (ASR) techniques, a single recognizer is usually incapable of accounting for the varying conditions in a typical natural environment. Higher robustness to a range of noise cases can potentially ...

EPFL2002

Multi-stream adaptive evidence combination for noise robust ASR

Hervé Bourlard, Astrid Hagen

In this paper we develop different mathematical models in the framework of the multi-stream paradigm for noise robust ASR, and discuss their close relationship with human speech perception. Largely inspired by Fletcher's "product-of-errors" rule in psychoa ...

NORTH-HOLLAND2001

Using posterior probabilities for speech/music discrimination

Automatic speech/music discrimination has been receiving importance recently, for example when large multimedia documents have to be processed by an ASR system, or for indexing and retrieval of such documents. This work presents using outputs of a speech r ...

IDIAP2001

Robust speech recognition based on multi-stream processing

Astrid Hagen

École Polytechnique Fédérale de Lausanne2001

Robust speech recognition based on multi-stream processing

Astrid Hagen

2001

Some applications of a priori knowledge in multi-stream HMM and HMM/ANN based ASR

Multi-band ASR was largely inspired by the extremely high level of redundancy in the spectral signal representation which can be inferred from Fletcher's product-of-errors rule for human speech perception. Indeed, the main aim of the multi-band approach is ...

2000

Different Weighting Schemes in the Full Combination Subbands Approach for Noise Robust ASR

Hervé Bourlard, Astrid Hagen

In this paper, we present and investigate a new method for subband-based Automatic Speech Recognition (ASR) which approximates the ideal full combination' approach which is itself often not practical to realize. The full combination' approach consists of ...

1999