Although much is known about how speech is produced, and research into speech
production has resulted in measured articulatory data, feature systems of different kinds, and …

This paper examines how people communicate with computers using speech. Automatic
speech recognition (ASR) transforms speech into text, while automatic speech synthesis [or …

Modern automatic speech recognition systems handle large vocabularies of words, making
it infeasible to collect enough repetitions of each word to train individual word models …

Whereas most state-of-the-art speech recognition systems use spectral or cepstral
representations of the speech signal, there have also been some promising attempts at …

The notion that a word is composed of a sequence of phone segments, sometimes referred
to as 'beads on a string', has formed the basis of most speech recognition work for over 15 …

We present an approach to detecting and recognizing spoken isolated phrases based solely
on visual input. We adopt an architecture that first employs discriminative detection of visual …

There is a vast body of literature on LVCSR research and some limitation is necessary in the
scope of this article. We will focus primarily on the techniques that have been successful in …

Visual information has been shown to improve the performance of speech recognition
systems in noisy acoustic environments. However, most audio-visual speech recognizers …

We study spoken term detection (STD)-the task of determining whether and where a given
word or phrase appears in a given segment of speech-using articulatory feature-based …

While the overall performance of speech recognition systems continues to improve, they still
show a dramatic increase in word error rate when tested on different speaking styles, ie …