Thum, Wei Seong and M. Z., Ibrahim (2018) A review of audio-visual speech recognition. Journal of Telecommunication, Electronic and Computer Engineering, 10 (1-4). pp. 35-40. ISSN 2289-8131. (Published)
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Abstract
Speech is the most important tool of interaction among human beings. This has inspired researchers to study further on speech recognition and develop a computer system that is able to integrate and understand human speech. But acoustic noisy environment can highly contaminate audio speech and affect the overall recognition performance. Thus, Audio-Visual Speech Recognition (AVSR) is designed to overcome the problems by utilising visual images which are unaffected by noise. The aim of this paper is to discuss the AVSR structures, which includes the front end processes, audio-visual data corpus used, recent works and accuracy estimation methods.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Audio-visual speech recognition; Audio visual data corpus; Feature extraction; Model validation techniques; Performance evaluation |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 14 Sep 2018 07:20 |
| Last Modified: | 14 Sep 2018 07:20 |
| URI: | http://umpir.ump.edu.my/id/eprint/21637 |
| Download Statistic: | View Download Statistics |
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