Accession Number:

ADA591829

Title:

Computational Modeling of Emotions and Affect in Social-Cultural Interaction

Descriptive Note:

Final rept. 15 Jul 2010-14 Jul 2013

Corporate Author:

TEXAS UNIV AT DALLAS RICHARDSON

Personal Author(s):

Report Date:

2013-10-02

Pagination or Media Count:

7.0

Abstract:

The objective of this proposal was to develop computational models for emotion recognition in speech and study various impacting factors including social, cultural, and language effect on such models. Accomplishments in the project are the following. First, emotion recognition performance was improved upon the state-of-the-art. Different methods were developed to improve model performance, including employing sub-sentence units, advanced feature transform, deep learning, and more features from acoustic and textual information sources. Second, a cross-lingual study was performed that shed light on how human perception and automatic recognition of emotion differs and how performance in cross-lingual setups varies. This project supported several students, leading partly to one Ph.D dissertation

Subject Categories:

  • Cybernetics
  • Voice Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE