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 …

The goal of this paper is to learn strong lip reading models that can recognise speech in
silent videos. Most prior works deal with the open-set visual speech recognition problem by …

Since the textual contents on online social media are highly unstructured, informal, and often
misspelled, existing research on message-level offensive language detection cannot …

This paper describes the acquisition of a new database of dysarthric speech in terms of
aligned acoustics and articulatory data. This database currently includes data from seven …

Vehicular ad hoc networks (VANETs) have emerged as an application of mobile ad hoc
networks (MANETs), which use dedicated short-range communication (DSRC) to allow …

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 …

One crucial challenge of real-world multilingual speech recognition is the long-tailed
distribution problem, where some resource-rich languages like English have abundant …

Speech-driven 3D face animation technique, extending its applications to various
multimedia fields. Previous research has generated promising realistic lip movements and …

Canonical correlation analysis (CCA) and kernel CCA can be used for unsupervised
learning of acoustic features when a second view (eg, articulatory measurements) is …

In this paper, we suggest that perception could be modeled by assuming that sensory input
is generated by a hierarchy of attractors in a dynamic system. We describe a mathematical …