Add to ORKGFanelli G., Gall J., Romsdorfer H., Weise T., Van Gool L., ''Acquisition of a 3D Audio-Visual Corpus of Affective Speech'', BIWI technical report no. 270, Computer Vision Lab, ETH Zürich, February 2010.status: publishe
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
Creating machines with the ability to reason, perceive, learn and make decisions based on a human li...
A synchronous database of acoustic and 3D facial marker data was built for audio-visual laughter syn...
Communication between humans deeply relies on our capability of experiencing, expressing, and recogn...
Communication between humans deeply relies on the capability of expressing and recognizing feelings....
Proceedings on line: http://avsp2017.loria.fr/proceedings/International audienceIn the context of de...
The aim of the study is to learn the relationship between facial movements and the acoustics of spee...
Data annotation is the most labor-intensive part for the acquisition of a multimodal corpus. 3D visi...
We have created a synchronous corpus of acoustic and 3D facial marker data from multiple speakers fo...
https://aimc2023.pubpub.org/pub/chx6olpn Emotional Machines is an interactive media project that pr...
Immersive stereoscopic footage of a Coordinate Response Measure (CRM) recorded from two actors. The ...
Automated recognition of emotions conveyed in the speech is an important research topic that has eme...
Human communication is based on verbal and nonverbal information, e.g., facial expressions and inton...
We present an audiovisual speech corpus that is designed for cognitive neuroscience studies and that...
International audienceWithin the framework of developing an expressive audiovisual speech synthesis,...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
Creating machines with the ability to reason, perceive, learn and make decisions based on a human li...
A synchronous database of acoustic and 3D facial marker data was built for audio-visual laughter syn...
Communication between humans deeply relies on our capability of experiencing, expressing, and recogn...
Communication between humans deeply relies on the capability of expressing and recognizing feelings....
Proceedings on line: http://avsp2017.loria.fr/proceedings/International audienceIn the context of de...
The aim of the study is to learn the relationship between facial movements and the acoustics of spee...
Data annotation is the most labor-intensive part for the acquisition of a multimodal corpus. 3D visi...
We have created a synchronous corpus of acoustic and 3D facial marker data from multiple speakers fo...
https://aimc2023.pubpub.org/pub/chx6olpn Emotional Machines is an interactive media project that pr...
Immersive stereoscopic footage of a Coordinate Response Measure (CRM) recorded from two actors. The ...
Automated recognition of emotions conveyed in the speech is an important research topic that has eme...
Human communication is based on verbal and nonverbal information, e.g., facial expressions and inton...
We present an audiovisual speech corpus that is designed for cognitive neuroscience studies and that...
International audienceWithin the framework of developing an expressive audiovisual speech synthesis,...
This repository contains Emozionalmente: an extensive Italian speech emotional corpus. The dataset c...
Creating machines with the ability to reason, perceive, learn and make decisions based on a human li...
A synchronous database of acoustic and 3D facial marker data was built for audio-visual laughter syn...