ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Integrating audio and visual information to provide highly robust speech recognition
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
A new optimization procedure for extracting the point-based lip contour using active shape model
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Automatic Extraction of Lip Based on Wavelet Edge Detection
SYNASC '06 Proceedings of the Eighth International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Research on Visual Speech Feature Extraction
ICCET '09 Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02
Wrapping snakes for improved lip segmentation
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
IFITA '10 Proceedings of the 2010 International Forum on Information Technology and Applications - Volume 01
Hi-index | 0.00 |
As one of the techniques for robust speech recognition under noisy environments, audio-visual speech recognition (AVSR) using lip dynamic scene information together with audio information is attracting attention, and the research has advanced in recent years. However, in visual speech recognition (VSR), when a face turns sideways, the shape of the lip as viewed from the camera changes and the recognition accuracy degrades significantly. Therefore, many of the conventional VSR methods are limited to situations in which the face is viewed from the front. This paper proposes a VSR method to convert faces viewed from various directions into faces that are viewed from the front using Active Appearance Models (AAM). In the experiment, even when the face direction changes about 30 degrees relative to a frontal view, the recognition accuracy improved significantly.