no code implementations • 21 May 2024 • Rong Gao, Xin Liu, Bohao Xing, Zitong Yu, Bjorn W. Schuller, Heikki Kälviäinen
The second is whether micro-gestures, as supplementary data, can provide additional insights for emotional understanding.
no code implementations • 21 Mar 2024 • Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Berrak Sisman, Bjorn W. Schuller, Carlos Busso
This study presents emoDARTS, a DARTS-optimised joint CNN and Sequential Neural Network (SeqNN: LSTM, RNN) architecture that enhances SER performance.
Ranked #1 on Speech Emotion Recognition on IEMOCAP
no code implementations • 21 Aug 2023 • Zixing Zhang, Liyizhe Peng, Tao Pang, Jing Han, Huan Zhao, Bjorn W. Schuller
After the inception of emotion recognition or affective computing, it has increasingly become an active research topic due to its broad applications.
1 code implementation • 28 Sep 2022 • Jonah Anton, Harry Coppock, Pancham Shukla, Bjorn W. Schuller
The Barlow Twins self-supervised learning objective requires neither negative samples or asymmetric learning updates, achieving results on a par with the current state-of-the-art within Computer Vision.
Ranked #1 on Event Detection on DCASE 2016 Task 2
no code implementations • 7 Jul 2022 • Thejan Rajapakshe, Rajib Rana, Sara Khalifa, Bjorn W. Schuller
Evaluation results show that in a live data feed setting, RL-DA outperforms a baseline strategy by 11% and 14% in cross-corpus and cross-language scenarios, respectively.
no code implementations • 8 Dec 2020 • Kun Qian, Bjorn W. Schuller, Yoshiharu Yamamoto
Computer audition (CA) has been demonstrated to be efficient in healthcare domains for speech-affecting disorders (e. g., autism spectrum, depression, or Parkinson's disease) and body sound-affecting abnormalities (e. g., abnormal bowel sounds, heart murmurs, or snore sounds).
no code implementations • 7 Sep 2020 • Zhengxin Joseph Ye, Bjorn W. Schuller
While Post-Earnings-Announcement Drift (PEAD) is one of the most studied stock market anomalies, the current literature is often limited in explaining this phenomenon by a small number of factors using simpler regression methods.
1 code implementation • 4 Feb 2018 • Panagiotis Tzirakis, Stefanos Zafeiriou, Bjorn W. Schuller
To our knowledge, this is the first toolkit that provides generic end-to-end learning for profiling capabilities in either unimodal or multimodal cases.
no code implementations • CVPR 2016 • George Trigeorgis, Mihalis A. Nicolaou, Stefanos Zafeiriou, Bjorn W. Schuller
Thus, they fail to capture complex, hierarchical non-linear representations which may prove to be beneficial towards the task of temporal alignment, particularly when dealing with multi-modal data (e. g., aligning visual and acoustic information).