RBF neural network mouth tracking for audio-visual speech recognition system

Hui Lim, Phooi Seng, Ming K Tse

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

8 Citations (Scopus)
Original languageEnglish
Title of host publicationAnalog and Digital Techniques in Electrical Engineering: Proceedings of the IEEE TENCON 2004
EditorsA Nishihara, E Leelarasmee
Place of PublicationThailand
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages84 - 87
Number of pages4
ISBN (Print)0-7803-8561-6
Publication statusPublished - 2004
EventAnalog and Digital Techniques in Electrical Engineering (TENCON) - Chiang Mai, Thailand, Thailand
Duration: 1 Jan 2004 → …

Conference

ConferenceAnalog and Digital Techniques in Electrical Engineering (TENCON)
CityThailand
Period1/01/04 → …

Cite this

Lim, H., Seng, P., & Tse, M. K. (2004). RBF neural network mouth tracking for audio-visual speech recognition system. In A. Nishihara, & E. Leelarasmee (Eds.), Analog and Digital Techniques in Electrical Engineering: Proceedings of the IEEE TENCON 2004 (pp. 84 - 87). IEEE, Institute of Electrical and Electronics Engineers.