 |
Conference papers
Speech-driven eyebrow motion synthesis with contextual Markovian models
Abstract : Nonverbal communicative behaviors during speech are important to model a virtual agent able to sustain a natural and lively conversation with humans. We investigate statistical frameworks for learning the correlation between speech prosody and eyebrow motion features. Such methods may be used to synthesize automatically accurate eyebrow movements from synchronized speech.
https://hal.archives-ouvertes.fr/hal-01215185
Contributor : Lip6 Publications <>
Submitted on : Tuesday, October 13, 2015 - 4:37:54 PM
Last modification on : Wednesday, November 27, 2019 - 11:24:10 AM
Contributor : Lip6 Publications <>
Submitted on : Tuesday, October 13, 2015 - 4:37:54 PM
Last modification on : Wednesday, November 27, 2019 - 11:24:10 AM
