منابع مشابه
Lip-reading and Bilingualism
This study investigated whether observers can identify what language was being spoken in visual-only speech stimuli, and whether or not this ability depends on an observers’ prior linguistic experience. Participants watched visual-only speech stimuli and were asked to decide if the talker in the video was speaking English or Spanish. Four groups of participants were studied: monolinguals and bi...
متن کاملLip 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...
متن کاملTowards Unrestricted Lip Reading
Lip reading provides useful information in speech perception and language understanding, especially when the auditory speech is degraded. However, many current automatic lip reading systems impose some restrictions on users. In this paper, we present our research e orts, in the Interactive System Laboratory, towards unrestricted lip reading. We rst introduce a top-down approach to automatically...
متن کاملLip-Reading using Neural Networks
Lip-Reading has been practiced over centuries for teaching deaf and dumb to speak and communicate effectively with the other people. In this study, the use of neural networks in lip reading is explored. We convert the video of the subject speaking different words into images and then images are further selected manually for processing. As per the research the horizontal and the vertical distanc...
متن کاملLip Reading in the Wild
Our aim is to recognise the words being spoken by a talking face, given only the video but not the audio. Existing works in this area have focussed on trying to recognise a small number of utterances in controlled environments (e.g. digits and alphabets), partially due to the shortage of suitable datasets. We make two novel contributions: first, we develop a pipeline for fully automated large-s...
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ژورنال
عنوان ژورنال: Science
سال: 1903
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.17.433.631