Visual speech information from the speaker's mouth region has been successfully shown to
improve noise robustness of automatic speech recognizers, thus promising to extend their …

Visual speech information plays an important role in automatic speech recognition (ASR)
especially when audio is corrupted or even inaccessible. Despite the success of audio …

A method for the automatic processing of the electrocardiogram (ECG) for the classification
of heartbeats is presented. The method allocates manually detected heartbeats to one of the …

An adaptive system for the automatic processing of the electrocardiogram (ECG) for the
classification of heartbeats into one of the five beat classes recommended by ANSI/AAMI …

Deep belief networks (DBN) have shown impressive improvements over Gaussian mixture
models for automatic speech recognition. In this work we use DBNs for audio-visual speech …

In this paper, we review recent results on audiovisual (AV) fusion. We also discuss some of
the challenges and report on approaches to address them. One important issue in AV fusion …

While the accuracy of feature measurements heavily depends on changing environmental
conditions, studying the consequences of this fact in pattern recognition tasks has received …

This paper presents the maximum weighted stream posterior (MWSP) model as a robust and
efficient stream integration method for audio-visual speech recognition in environments …

Classifier performance is often enhanced through combining multiple streams of information.
In the context of multi-stream HMM/ANN systems in ASR, a confidence measure widely used …

With the increasing use of multimedia data in communication technologies, the idea of
employing visual information in automatic speech recognition (ASR) has recently gathered …