Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Björn W. Schuller"'
Autor:
Jobie Budd, Kieran Baker, Emma Karoune, Harry Coppock, Selina Patel, Richard Payne, Ana Tendero Cañadas, Alexander Titcomb, David Hurley, Sabrina Egglestone, Lorraine Butler, Jonathon Mellor, George Nicholson, Ivan Kiskin, Vasiliki Koutra, Radka Jersakova, Rachel A. McKendry, Peter Diggle, Sylvia Richardson, Björn W. Schuller, Steven Gilmour, Davide Pigoli, Stephen Roberts, Josef Packham, Tracey Thornley, Chris Holmes
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract The UK COVID-19 Vocal Audio Dataset is designed for the training and evaluation of machine learning models that classify SARS-CoV-2 infection status or associated respiratory symptoms using vocal audio. The UK Health Security Agency recruite
Externí odkaz:
https://doaj.org/article/452ca1b9c22d46e4ba3fae38754c1c88
Autor:
Kun Qian, Ruolan Huang, Zhihao Bao, Yang Tan, Zhonghao Zhao, Mengkai Sun, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Intelligent Medicine, Vol 4, Iss 2, Pp 96-103 (2024)
Objective: Speech recognition technology is widely used as a mature technical approach in many fields. In the study of depression recognition, speech signals are commonly used due to their convenience and ease of acquisition. Though speech recognitio
Externí odkaz:
https://doaj.org/article/415f5dedbc7e4066ae4f458de9f20938
Autor:
Jingtan Li, Mengkai Sun, Zhonghao Zhao, Xingcan Li, Gaigai Li, Chen Wu, Kun Qian, Bin Hu, Yoshiharu Yamamoto, Björn W. Schuller
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-9 (2023)
Abstract Snoring affects 57 % of men, 40 % of women, and 27 % of children in the USA. Besides, snoring is highly correlated with obstructive sleep apnoea (OSA), which is characterised by loud and frequent snoring. OSA is also closely associated with
Externí odkaz:
https://doaj.org/article/61f6407b3c454010a3ea44a79b1a76e5
Publikováno v:
Pilot and Feasibility Studies, Vol 9, Iss 1, Pp 1-15 (2023)
Abstract Background Stress levels and thus the risk of developing related physical and mental health conditions are rising worldwide. Dysfunctional beliefs contribute to the development of stress. Potentially, such beliefs can be modified with approa
Externí odkaz:
https://doaj.org/article/563089c945d240178f221a93db696777
Autor:
Andreas Triantafyllopoulos, Lukas Christ, Alexander Gebhard, Xin Jing, Alexander Kathan, Manuel Milling, Iosif Tsangko, Shahin Amiriparian, Björn W. Schuller
Publikováno v:
Intelligent Computing, Vol 3 (2024)
Affective computing (AC), like most other areas of computational research, has benefited tremendously from advances in deep learning (DL). These advances have opened up new horizons in AC research and practice. Yet, as DL dominates the community’s
Externí odkaz:
https://doaj.org/article/e9c2bea3e62e4f3d80f7880c826a3920
Autor:
Wanyong Qiu, Chen Quan, Yongzi Yu, Eda Kara, Kun Qian, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
Cardiovascular diseases are a prominent cause of mortality, emphasizing the need for early prevention and diagnosis. Utilizing artificial intelligence (AI) models, heart sound analysis emerges as a noninvasive and universally applicable approach for
Externí odkaz:
https://doaj.org/article/19baca19286348dfae848eb31e7a2b20
Autor:
Kun Qian, Zhihao Bao, Zhonghao Zhao, Tomoya Koike, Fengquan Dong, Maximilian Schmitt, Qunxi Dong, Jian Shen, Weipeng Jiang, Yajuan Jiang, Bo Dong, Zhenyu Dai, Bin Hu, Björn W. Schuller, Yoshiharu Yamamoto
Publikováno v:
Cyborg and Bionic Systems, Vol 5 (2024)
Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade. Nevertheless, lacking on standard open-access database made it diffic
Externí odkaz:
https://doaj.org/article/131945e6d29347be828b5b8375bba358
Autor:
Alican Akman, Björn W. Schuller
Publikováno v:
Intelligent Computing, Vol 3 (2024)
Artificial intelligence (AI) capabilities have grown rapidly with the introduction of cutting-edge deep-model architectures and learning strategies. Explainable AI (XAI) methods aim to make the capabilities of AI models beyond accuracy interpretable
Externí odkaz:
https://doaj.org/article/0b055c5be34e42eda831a3253a8a23e3
Autor:
Björn W. Schuller, Alican Akman, Yi Chang, Harry Coppock, Alexander Gebhard, Alexander Kathan, Esther Rituerto-González, Andreas Triantafyllopoulos, Florian B. Pokorny
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23142- (2024)
Among the 17 Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the 13th SDG is a call for action to combat climate change. Moreover, SDGs 14 and 15 claim the protection and conse
Externí odkaz:
https://doaj.org/article/11dc638faf4a42d2a2b53e8020e3be7f
Publikováno v:
Frontiers in Digital Health, Vol 5 (2023)
Externí odkaz:
https://doaj.org/article/2119b87187d84bd5a6d74f1eb6a9adfb