no code implementations • LREC 2022 • Felix Burkhardt, Anabell Hacker, Uwe Reichel, Hagen Wierstorf, Florian Eyben, Björn Schuller
Since several decades emotional databases have been recorded by various laboratories.
no code implementations • 1 Apr 2022 • Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf, Maximilian Schmitt, Uwe Reichel, Florian Eyben, Felix Burkhardt, Björn W. Schuller
Large, pre-trained neural networks consisting of self-attention layers (transformers) have recently achieved state-of-the-art results on several speech emotion recognition (SER) datasets.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
no code implementations • 13 Oct 2021 • Andreas Triantafyllopoulos, Uwe Reichel, Shuo Liu, Stephan Huber, Florian Eyben, Björn W. Schuller
In this contribution, we investigate the effectiveness of deep fusion of text and audio features for categorical and dimensional speech emotion recognition (SER).
no code implementations • LREC 2020 • Piroska Lendvai, S{\'a}ndor Dar{\'a}nyi, Christian Geng, Moniek Kuijpers, Oier Lopez de Lacalle, Jean-Christophe Mensonides, Simone Rebora, Uwe Reichel
To detect how and when readers are experiencing engagement with a literary work, we bring together empirical literary studies and language technology via focusing on the affective state of absorption.
no code implementations • LREC 2016 • Uwe Reichel, Florian Schiel, Thomas Kisler, Christoph Draxler, Nina P{\"o}rner
The BAS CLARIN speech data repository is introduced.
no code implementations • LREC 2016 • Thomas Kisler, Uwe Reichel, Florian Schiel, Christoph Draxler, Bernhard Jackl, Nina P{\"o}rner
In 2012 the Bavarian Archive for Speech Signals started providing some of its tools from the field of spoken language in the form of Software as a Service (SaaS).