no code implementations • 9 May 2022 • Andreas Triantafyllopoulos, Sandra Ottl, Alexander Gebhard, Esther Rituerto-González, Mirko Jaumann, Steffen Hüttner, Valerie Dieter, Patrick Schneeweiß, Inga Krauß, Maurice Gerczuk, Shahin Amiriparian, Björn W. Schuller
Although running is a common leisure activity and a core training regiment for several athletes, between $29\%$ and $79\%$ of runners sustain an overuse injury each year.
no code implementations • 17 Feb 2022 • Harry Coppock, Alican Akman, Christian Bergler, Maurice Gerczuk, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Jing Han, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Panagiotis Tzirakis, Anton Batliner, Cecilia Mascolo, Björn W. Schuller
The COVID-19 pandemic has caused massive humanitarian and economic damage.
1 code implementation • 16 Sep 2021 • Sandra Ottl, Shahin Amiriparian, Maurice Gerczuk, Björn Schuller
Finally, a linear SVR is trained on this feature representation.
1 code implementation • 23 Apr 2021 • Shahin Amiriparian, Tobias Hübner, Maurice Gerczuk, Sandra Ottl, Björn W. Schuller
By obtaining state-of-the-art results on a set of paralinguistics tasks, we demonstrate the suitability of the proposed transfer learning approach for embedded audio signal processing, even when data is scarce.
no code implementations • 20 Apr 2021 • Shahin Amiriparian, Artem Sokolov, Ilhan Aslan, Lukas Christ, Maurice Gerczuk, Tobias Hübner, Dmitry Lamanov, Manuel Milling, Sandra Ottl, Ilya Poduremennykh, Evgeniy Shuranov, Björn W. Schuller
Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 10 Mar 2021 • Maurice Gerczuk, Shahin Amiriparian, Sandra Ottl, Björn Schuller
The corpus is then utilised to create a novel framework for multi-corpus speech emotion recognition, namely EmoNet.
no code implementations • 24 Feb 2021 • Björn W. Schuller, Anton Batliner, Christian Bergler, Cecilia Mascolo, Jing Han, Iulia Lefter, Heysem Kaya, Shahin Amiriparian, Alice Baird, Lukas Stappen, Sandra Ottl, Maurice Gerczuk, Panagiotis Tzirakis, Chloë Brown, Jagmohan Chauhan, Andreas Grammenos, Apinan Hasthanasombat, Dimitris Spathis, Tong Xia, Pietro Cicuta, Leon J. M. Rothkrantz, Joeri Zwerts, Jelle Treep, Casper Kaandorp
The INTERSPEECH 2021 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the COVID-19 Cough and COVID-19 Speech Sub-Challenges, a binary classification on COVID-19 infection has to be made based on coughing sounds and speech; in the Escalation SubChallenge, a three-way assessment of the level of escalation in a dialogue is featured; and in the Primates Sub-Challenge, four species vs background need to be classified.
1 code implementation • 15 May 2020 • Shahin Amiriparian, Pawel Winokurow, Vincent Karas, Sandra Ottl, Maurice Gerczuk, Björn W. Schuller
On the development partition of the data, we achieve Spearman's correlation coefficients of . 324, . 283, and . 320 with the targets on the Karolinska Sleepiness Scale by utilising attention and non-attention autoencoders, and the fusion of both autoencoders' representations, respectively.