Continuous optical automatic speech recognition by lipreading
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We describe a continuous optical automatic speechrecognizer (OASR) that uses optical information fromthe oral-cavity shadow of a speaker. The systemachieves a 25.3 percent recognition on sentences havinga perplexity of 150 without using any syntactic,semantic, acoustic, or contextual guides. We introduce13, mostly dynamic, oral-cavity features used foroptical recognition, present phones that appear opticallysimilar (visemes) for our speaker, and presentthe recognition results for our...Keywords
This publication has 9 references indexed in Scilit:
- Automatic Speech RecognitionPublished by Springer Nature ,1989
- A tutorial on hidden Markov models and selected applications in speech recognitionProceedings of the IEEE, 1989
- An improved automatic lipreading system to enhance speech recognitionPublished by Association for Computing Machinery (ACM) ,1988
- Principal Component AnalysisPublished by Springer Nature ,1986
- A Probabilistic Distance Measure for Hidden Markov ModelsAT&T Technical Journal, 1985
- An Introduction to the Application of the Theory of Probabilistic Functions of a Markov Process to Automatic Speech RecognitionBell System Technical Journal, 1983
- Effects of Training on the Visual Recognition of ConsonantsJournal of Speech and Hearing Research, 1977
- Confusions Among Visually Perceived ConsonantsJournal of Speech and Hearing Research, 1968
- Control Methods Used in a Study of the VowelsThe Journal of the Acoustical Society of America, 1952