Multimodal anomaly detection in discourse using speech and facial expressions
Cette thèse traite de la détection multimodale des anomalies dans le discours en utilisant les expressions faciales et l'expressivité dans la voix. Ces deux modalités sont des vecteurs d’émotions, des intentions, et peuvent refléter l'état d'esprit d'un être humain. Dans ce trava...
Main Author: | Fayet, Cédric |
---|---|
Other Authors: | Rennes 1 |
Language: | en |
Published: |
2018
|
Subjects: | |
Online Access: | http://www.theses.fr/2018REN1S131 |
Similar Items
-
A Novel Framework for Estimating Viewer Interest by Unsupervised Multimodal Anomaly Detection
by: Yuma Sasaka, et al.
Published: (2018-01-01) -
A facial animation model for expressive audio-visual speech
by: Somasundaram, Arunachalam
Published: (2006) -
CORRELATION BETWEEN FACIAL ESTHETIC AND DENTO-MAXILLARY ANOMALIES
by: Mioara Decusară, et al.
Published: (2020-12-01) -
Speech expression modeling and synthesis
by: Peng, Antai
Published: (2007) -
STUDY OF FACIAL ASYMMETRY IN PATIENTS WITH DENTOMAXILLARY ANOMALIES
by: Daniela Anistoroaei, et al.
Published: (2011-09-01)