Title
Comparing Text-Driven And Speech-Driven Visual Speech Synthesisers
Abstract
We present a comparison of a text-driven and a speech driven visual speech synthesiser. Both are trained using the same data and both use the same Active Appearance Model (AAM) to encode and re-synthesise visual speech. Objective quality, measured using correlation, suggests the performance of both approaches is close, but subjective opinion ranks the text-driven approach significantly higher.
Year
Venue
Keywords
2008
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5
visual speech synthesis
Field
DocType
Citations 
ENCODE,Computer science,Active appearance model,Speech recognition,Correlation
Conference
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Barry-John Theobald133225.39
Gavin C. Cawley290259.96
J.A. Bangham348446.38
Iain Matthews44900253.61
Nicholas Wilkinson5101.90