Finding phonemes: improving machine lip-reading
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-dependent viseme classes, which enables the creation of a set of phoneme-to-viseme maps where each has a different quantity of visemes ranging from two to 45. Viseme classes are based upon the mapping of articulated phonemes, which have been confused during phoneme recognition, into viseme groups. Using these maps, with the LiLIR dataset, we show the effect of changing the viseme map size in speaker-dependent machine lip-reading, measured by word recognition correctness and so demonstrate that word recognition with phoneme classifiers is not just possible, but often better than word recognition with viseme classifiers. Furthermore, there are intermediate units between visemes and phonemes which are better still.
Code (0)
등록된 구현이 없습니다.
Tasks
Lip ReadingPhoneme RecognitionSimilar Papers 제목 키워드 기반
Decoding visemes: improving machine lipreading
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 content of the video, such as rate of spee…
ClusteringGeneral ClassificationLipreadingRobust classification+2Synchronous Bidirectional Learning for Multilingual Lip Reading
Lip reading has received increasing attention in recent years. This paper focuses on the synergy of multilingual lip reading. There are about as many as 7000 languages in the world, which implies that it is impractical t…
Lip ReadingAlternative Visual Units for an Optimized Phoneme-Based Lipreading System
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, but as yet are not formally defined, as …
LipreadingManagementComparing phonemes and visemes with DNN-based lipreading
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 studies tried to improve lipreading accur…
DecoderLipreadingVisual speech recognition: aligning terminologies for better understanding
We are at an exciting time for machine lipreading. Traditional research stemmed from the adaptation of audio recognition systems. But now, the computer vision community is also participating. This joining of two previous…
Lipreadingspeech-recognitionSpeech RecognitionVisual Speech Recognition