activity
20172019
most citedPhoneme-to-viseme mappings: the good, the bad, and the ugly

59 citations · 101 across the 10 of their papers we have counts for

collaborators

11 papers

eess.IV2019★ 13 cited

Alternative Visual Units for an Optimized Phoneme-Based Lipreading System

Helen Bear, Richard Harvey

Lipreading is understanding speech from observed lip movements. An observed series of lip motions is an ordered sequence of visual lip gestures. These gestures are commonly known,…

eess.IV2018

Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals

Helen L Bear, Richard Harvey

Visual lip gestures observed whilst lipreading have a few working definitions, the most common two are; `the visual equivalent of a phoneme' and `phonemes which are indistinguishab…

cs.CV2018★ 59 cited

Phoneme-to-viseme mappings: the good, the bad, and the ugly

Helen L Bear, Richard Harvey

Visemes are the visual equivalent of phonemes. Although not precisely defined, a working definition of a viseme is "a set of phonemes which have identical appearance on the lips".…

cs.CV2018★ 16 cited

Comparing phonemes and visemes with DNN-based lipreading

Kwanchiva Thangthai, Helen L Bear, Richard Harvey

There is debate if phoneme or viseme units are the most effective for a lipreading system. Some studies use phoneme units even though phonemes describe unique short sounds; other s…

cs.CV2017

Decoding visemes: improving machine lipreading

Helen L Bear

Machine lipreading (MLR) is speech recognition from visual cues and a niche research problem in speech processing & computer vision. Current challenges fall into two groups: the co…

cs.CV2017

Decoding visemes: improving machine lipreading

Helen L. Bear, Richard Harvey

To undertake machine lip-reading, we try to recognise speech from a visual signal. Current work often uses viseme classification supported by language models with varying degrees o…

cs.CV2017★ 11 cited

Finding phonemes: improving machine lip-reading

Helen L. Bear, Richard W. Harvey, Yuxuan Lan

In machine lip-reading there is continued debate and research around the correct classes to be used for recognition. In this paper we use a structured approach for devising speaker…

cs.CV2017★ 1 cited

Speaker-independent machine lip-reading with speaker-dependent viseme classifiers

Helen L. Bear, Stephen J. Cox, Richard W. Harvey

In machine lip-reading, which is identification of speech from visual-only information, there is evidence to show that visual speech is highly dependent upon the speaker [1]. Here,…

cs.CV2017★ 1 cited

Which phoneme-to-viseme maps best improve visual-only computer lip-reading?

Helen L. Bear, Richard W. Harvey, Barry-John Theobald +1

A critical assumption of all current visual speech recognition systems is that there are visual speech units called visemes which can be mapped to units of acoustic speech, the pho…

cs.CV2017

Some observations on computer lip-reading: moving from the dream to the reality

Helen L. Bear, Gari Owen, Richard Harvey +1

In the quest for greater computer lip-reading performance there are a number of tacit assumptions which are either present in the datasets (high resolution for example) or in the m…

cs.CV2017

Resolution limits on visual speech recognition

Helen L. Bear, Richard Harvey, Barry-John Theobald +1

Visual-only speech recognition is dependent upon a number of factors that can be difficult to control, such as: lighting; identity; motion; emotion and expression. But some factors…