Visual speech, referring to the visual domain of speech, has attracted increasing attention
due to its wide applications, such as public security, medical treatment, military defense, and …

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 …

Current-generation automatic speech recognition (ASR) systems model spoken discourse
as a quasi-linear sequence of words and phones. Because it is unusual for every phone …

In this paper we consider the problems of supervised classification and regression in the
case where attributes and labels are functions: a data is represented by a set of functions …

The area of automatic speaker recognition has been dominated by systems using only short-
term, low-level acoustic information, such as cepstral features. While these systems have …

This paper discusses the use of surface electromyography for automatic speech recognition.
Electromyographic signals captured at the facial muscles record the activity of the human …

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 …

We report work on the first component of a two-stage speech recognition architecture based
onphonological features rather than phones. This paper reports experiments on three …

Gaussian Mixture Models (GMMs) and Radial Basis Function (RBF) networks are two of the
promising neural models for pattern classification. In this laboratory exercise, your task is to …

The idea of using articulatory representations for automatic speech recognition (ASR)
continues to attract much attention in the speech community. Representations which are …