Zobrazeno 1 - 10
of 30 663
pro vyhledávání: '"Schuller"'
Publikováno v:
Pragmatic and Observational Research, Vol Volume 14, Pp 111-125 (2023)
Constantinos Kallis,1 Rafael A Calvo,2 Bjorn Schuller,3 Jennifer K Quint1 1National Heart and Lung Institute, and School of Public Health, Imperial College London, London, UK; 2Dyson School of Engineering, Faculty of Engineering, Imperial College Lon
Externí odkaz:
https://doaj.org/article/33318768dff4465fb6d66e422de29274
Publikováno v:
European Review Of Applied Sociology, Vol 16, Iss 26, Pp 34-43 (2023)
The present study addresses processes and tools for adult career guidance in the context of longer lives. The need for people in midlife to prepare for their remaining working lives is more urgent since the global pandemic, making demands on career a
Externí odkaz:
https://doaj.org/article/774c1b2129284ea3b2dbab2a0d44411a
Autor:
McCloy, John S., Schuller, Sophie
Publikováno v:
Comptes Rendus. Géoscience, Vol 354, Iss S1, Pp 121-160 (2022)
In this review, we provide a perspective on the science and technology of vitrification of waste. First, we provide a background on the general classes of wastes for which vitrification is currently used for immobilization or is proposed, including n
Externí odkaz:
https://doaj.org/article/b3b41cad42ba4edd8599363bfcee747c
Publikováno v:
Proc. INTERSPEECH 2023, 2683-2687
Abusive content in online social networks is a well-known problem that can cause serious psychological harm and incite hatred. The ability to upload audio data increases the importance of developing methods to detect abusive content in speech recordi
Externí odkaz:
http://arxiv.org/abs/2407.20808
Autor:
Triantafyllopoulos, Andreas, Tsangko, Iosif, Gebhard, Alexander, Mesaros, Annamaria, Virtanen, Tuomas, Schuller, Björn
Foundation models (FMs) are increasingly spearheading recent advances on a variety of tasks that fall under the purview of computer audition -- the use of machines to understand sounds. They feature several advantages over traditional pipelines: amon
Externí odkaz:
http://arxiv.org/abs/2407.15672
Emotion and Intent Joint Understanding in Multimodal Conversation (MC-EIU) aims to decode the semantic information manifested in a multimodal conversational history, while inferring the emotions and intents simultaneously for the current utterance. M
Externí odkaz:
http://arxiv.org/abs/2407.02751
Uncertainty Quantification (UQ) is an important building block for the reliable use of neural networks in real-world scenarios, as it can be a useful tool in identifying faulty predictions. Speech emotion recognition (SER) models can suffer from part
Externí odkaz:
http://arxiv.org/abs/2407.01143
Autor:
Gerczuk, Maurice, Amiriparian, Shahin, Lutz, Justina, Strube, Wolfgang, Papazova, Irina, Hasan, Alkomiet, Schuller, Björn W.
In emergency medicine, timely intervention for patients at risk of suicide is often hindered by delayed access to specialised psychiatric care. To bridge this gap, we introduce a speech-based approach for automatic suicide risk assessment. Our study
Externí odkaz:
http://arxiv.org/abs/2407.11012
Autor:
Christ, Lukas, Amiriparian, Shahin, Hawighorst, Friederike, Schill, Ann-Kathrin, Boutalikakis, Angelo, Graf-Vlachy, Lorenz, König, Andreas, Schuller, Björn W.
Flattery is an important aspect of human communication that facilitates social bonding, shapes perceptions, and influences behavior through strategic compliments and praise, leveraging the power of speech to build rapport effectively. Its automatic d
Externí odkaz:
http://arxiv.org/abs/2406.17667
Autor:
Chang, Yi, Ren, Zhao, Zhao, Zhonghao, Nguyen, Thanh Tam, Qian, Kun, Schultz, Tanja, Schuller, Björn W.
Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The emergence of edge devices in the Internet of Things (IoT) presents challenges in constructing intricate deep learning models due to constraints in memory and com
Externí odkaz:
http://arxiv.org/abs/2406.15119