Experimenting With Lipreading For Large Vocabulary Continuous Speech Recognition

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F18%3A00006135" target="_blank" >RIV/46747885:24220/18:00006135 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s12193-018-0266-2" target="_blank" >http://dx.doi.org/10.1007/s12193-018-0266-2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12193-018-0266-2" target="_blank" >10.1007/s12193-018-0266-2</a>

Result language
angličtina
Original language name
Experimenting With Lipreading For Large Vocabulary Continuous Speech Recognition
Original language description
Vast majority of current research in the area of audiovisual speech recognition via lipreading from frontal face videos focuses on simple cases such as isolated phrase recognition or structured speech, where the vocabulary is limited to several tens of units. In this paper, we diverge from these traditional applications and investigate the effect of incorporating the visual and also depth information in the task of continuous speech recognition with vocabulary size ranging from several hundred to half a million words. To this end, we evaluate various visual speech parametrizations, both existing and novel, that are designed to capture different kind of information in the video and depth signals. The experiments are conducted on a moderate sized dataset of 54 speakers, each uttering 100 sentences in Czech language. Both the video and depth data was captured by the Microsoft Kinect device. We show that even for large vocabularies the visual signal contains enough information to improve the word accuracy up to 22% relatively to the acoustic-only recognition. Somewhat surprisingly, a relative improvement of up to 16% has also been reached using the interpolated depth data.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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