| 1 |
Contextual time-continuous emotion recognition based on multimodal data ...
|
|
|
|
Abstract:
This thesis outlines novel approaches to integrate contextual information for improving the performance of automatic emotion recognition systems. Emotion recognition has been of interest for researchers for a long period of time and during the last two decades it has received a noticeable development due to hardware and software improvements, as well as the increasing demand on intelligent conversational agents. In spite of the fact that modern emotion recognition research aims towards spontaneous data (recorded not in laboratory conditions) and real world applications, it is often being performed in an isolated manner. This implies that the recognition is done without accounting for previous actions or emotional status of a user, information about his/her interlocutor (if any) and environment while designing the pipeline. All these aspects and sources of information play an important role in defining or affecting the current mood and emotional status of the user; hence, they should be analyzed in order to ... : Diese Dissertation entstand im Rahmen einer Kooperation mit der Universität ITMO in St. Petersburg. / This dissertation was written in the context of a cooperation with ITMO University in St. Petersburg. ...
|
|
Keyword:
Audio visual emotion recognition; Contextual emotion recognition; DDC 150 / Psychology; DDC 410 / Linguistics; Dyadic interactions; Kontextualismus; Recognition Psychology; Smart tourism; Voice recognition
|
|
URL: https://oparu.uni-ulm.de/xmlui/handle/123456789/41875
https://dx.doi.org/10.18725/oparu-41799
|
|
BASE
|
|
Hide details
|
|
|
| 2 |
Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|
|
