DocumentCode
695667
Title
Viseme definitions comparison for visual-only speech recognition
Author
Cappelletta, Luca ; Harte, Naomi
Author_Institution
Dept. of Electron. & Electr. Eng, Trinity Coll. Dublin, Dublin, Ireland
fYear
2011
fDate
Aug. 29 2011-Sept. 2 2011
Firstpage
2109
Lastpage
2113
Abstract
Audio-visual speech recognition (AVSR) involves recognising of what a speaker is uttering using both audio and visual cues. While phonemes, the units of speech in the audio domain, are well documented, this is not equally true for the speech units in the visual domain: visemes. In the literature, only a generic viseme definition is recognised. There is no agreement on what visemes practically imply, and if they are just related to mouth position or mouth movement. In this paper a visual-only speech recognition system is presented, trained using either PCA or optical flow visual features. Recognition rate changes depending on which practical viseme definition has been used. Four viseme definitions were tested and results are analyzed in order to establish which is, within the 4 candidates, the best performing viseme definition.
Keywords
image sequences; principal component analysis; speech recognition; AVSR; PCA; audio cues; audio domain; audio-visual speech recognition; generic viseme definition; optical flow visual features; recognition rate; speech units; visual cues; visual domain; visual-only speech recognition system; Databases; Feature extraction; Hidden Markov models; Principal component analysis; Speech; Speech recognition; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2011 19th European
Conference_Location
Barcelona
ISSN
2076-1465
Type
conf
Filename
7074217
Link To Document