To exploit dependencies between the five affective dimensions we investigate multitask learning of all five dimensions augmented with inter-rater standard ...

For modeling of continuous affective states we use Long Short-. Term Memory Recurrent Neural Networks, with which we can show an improvement in performance over.

To exploit dependencies between the five affective dimensions we investigate multitask learning of all five dimensions augmented with inter-rater standard ...

Automatic affect recognition is important for the ability of future technical systems to interact with us socially in an intelligent way by understanding ...

Title. A multitask approach to continuous five-dimensional affect sensing in natural speech. Authors. Eyben, Florian; Wöllmer, Martin; Schuller, Björn.

Mar 29, 2019 · Schuller, “A multitask ap- proach to continuous five-dimensional affect sensing in natural speech,” ACM Transactions on Interactive Intelligent ...

A multitask approach to continuous five-dimensional affect sensing in natural speech. Florian Eyben, Martin Wöllmer, Björn Schuller. Download full text files.

Aug 13, 2017 · [17] F. Eyben, M. Wöllmer, and B. Schuller, “A multitask approach to continuous five-dimensional affect sensing in natural speech,”.

[6] F. Eyben, M. Wöllmer, and B. Schuller, "A multitask approach to continuous five-dimensional affect sensing in natural speech,".

[15] F. Eyben, M. Wöllmer, and B. Schuller, “A multitask approach to continuous five-dimensional affect sensing in natural speech,” ACM.