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 …

We have made significant progress in automatic speech recognition (ASR) for well-defined
applications like dictation and medium vocabulary transaction processing tasks in relatively …

The use of visual features in audio-visual speech recognition (AVSR) is justified by both the
speech generation mechanism, which is essentially bimodal in audio and visual …

In recent years several speech recognition systems that use visual together with audio
information showed significant increase in performance over the standard speech …

4,677,845 4,678,329 4,678,792 4,678,793 4,678,814 4,679,137 4,679,147 4,680,715
4,680,787 4,680,835 4,681,576 4,866,770 4,884,091 5,045,940 5,179,383 5,218,435 …

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

Audio-based automatic speech recognition (A-ASR) systems are affected by noisy
conditions in real-world applications. Adding visual cues to the ASR system is an appealing …

Emotion expression associated with human communication is known to be a multimodal
process. In this work, we investigate the way that emotional information is conveyed by facial …

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 …

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