Visual Lip Reading Dataset in Turkish

Learning Visual Models for Lip Reading

This chapter describes learning techniques that are the basis of a "visual speech recognition" or "lipreading" system 1 • Model-based vision systems currently have the best performance for many visual recognition tasks. For geometrically simple domains, models can sometimes be constructed by hand using CAD-like tools. Such models are difficult and expensive to construct, however, and are inadeq...

Improving visual features for lip-reading

Automatic speech recognition systems that utilise the visual modality of speech often are investigated within a speakerdependent or a multi-speaker paradigm. That is, during training the recogniser will have had prior exposure to example speech from each of the possible test speakers. In a previous paper we highlighted the danger of not using different speakers in the training and test sets, an...

Visual Words for Automatic Lip-Reading

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A ommodating for 3D Head Movement in Visual Lip Reading

Lip Reading in Profile

There has been a quantum leap in the performance of automated lip reading recently due to the application of neural network sequence models trained on a very large corpus of aligned text and face videos. However, this advance has only been demonstrated for frontal or near frontal faces, and so the question remains: can lips be read in profile to the same standard? The objective of this paper is...