Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Adria Mallol - Ragolta"'
Autor:
Adria Mallol-Ragolta, Bjorn Schuller
Publikováno v:
IEEE Access, Vol 12, Pp 20654-20662 (2024)
We present the technologies and host components developed to power a speech-based dialogue manager with affective capabilities. The overall goal is that the system adapts its response to the sentiment and arousal level of the user inferred by analysi
Externí odkaz:
https://doaj.org/article/883e94b08f1240a3969f5b264abc981a
Autor:
Andreas Triantafyllopoulos, Alexander Kathan, Alice Baird, Lukas Christ, Alexander Gebhard, Maurice Gerczuk, Vincent Karas, Tobias Hübner, Xin Jing, Shuo Liu, Adria Mallol-Ragolta, Manuel Milling, Sandra Ottl, Anastasia Semertzidou, Srividya Tirunellai Rajamani, Tianhao Yan, Zijiang Yang, Judith Dineley, Shahin Amiriparian, Katrin D. Bartl-Pokorny, Anton Batliner, Florian B. Pokorny, Björn W. Schuller
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Recent years have seen a rapid increase in digital medicine research in an attempt to transform traditional healthcare systems to their modern, intelligent, and versatile equivalents that are adequately equipped to tackle contemporary challenges. Thi
Externí odkaz:
https://doaj.org/article/37ec478a52a04d60a259dc435e111374
Autor:
Meishu Song, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Zijiang Yang, Shuo Liu, Zhao Ren, Ziping Zhao, Björn W. Schuller
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 3, Iss 1, Pp 76-86 (2021)
Background: Although frustration is a common emotional reaction while playing games, an excessive level of frustration can negatively impact a user's experience, discouraging them from further game interactions. The automatic detection of frustration
Externí odkaz:
https://doaj.org/article/0089d76cc7bd474ca8ff9427a7ca1e02
Publikováno v:
Frontiers in Computer Science, Vol 4 (2022)
The advent of IoT devices in combination with Human Activity Recognition (HAR) technologies can contribute to battle with sedentariness by continuously monitoring the users' daily activities. With this information, autonomous systems could detect use
Externí odkaz:
https://doaj.org/article/18a2737e3fb54ca39c13235113904587
Autor:
Shahin Amiriparian, Jing Han, Maximilian Schmitt, Alice Baird, Adria Mallol-Ragolta, Manuel Milling, Maurice Gerczuk, Björn Schuller
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
During both positive and negative dyadic exchanges, individuals will often unconsciously imitate their partner. A substantial amount of research has been made on this phenomenon, and such studies have shown that synchronization between communication
Externí odkaz:
https://doaj.org/article/c9d42f9e133d4b04a23aff07f21b5986
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI).
Autor:
Manuel Milling, Ilhan Aslan, Moritz Berghofer, Adria Mallol-Ragolta, Utkarsh Kunwar, Björn Wolfgang Schuller
Publikováno v:
Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial Intelligence.
Autor:
Adria, Mallol-Ragolta, Florian B, Pokorny, Katrin D, Bartl-Pokorny, Anastasia, Semertzidou, Bjorn W, Schuller
Publikováno v:
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).
This work focuses on the automatic detection of COVID-19 from the analysis of vocal sounds, including sustained vowels, coughs, and speech while reading a short text. Specifically, we use the Mel-spectrogram representations of these acoustic signals
Autor:
Shuo Liu, Adria Mallol-Ragolta, Tianhao Yan, Kun Qian, Emilia Parada-Cabaleiro, Bin Hu, Bjorn Schuller
The importance of detecting whether a per- son wears a face mask while speaking has tremendously increased since the outbreak of SARS-CoV-2 (COVID-19), as wearing a mask can help to reduce the spread of the virus and mitigate the public health crisis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::11bc15031441b8f1bfe814820dec54f9
https://zenodo.org/record/6651976
https://zenodo.org/record/6651976