Zobrazeno 1 - 10
of 326
pro vyhledávání: '"P. Ottl"'
Autor:
Triantafyllopoulos, Andreas, Kathan, Alexander, Baird, Alice, Christ, Lukas, Gebhard, Alexander, Gerczuk, Maurice, Karas, Vincent, Hübner, Tobias, Jing, Xin, Liu, Shuo, Mallol-Ragolta, Adria, Milling, Manuel, Ottl, Sandra, Semertzidou, Anastasia, Rajamani, Srividya Tirunellai, Yan, Tianhao, Yang, Zijiang, Dineley, Judith, Amiriparian, Shahin, Bartl-Pokorny, Katrin D., Batliner, Anton, Pokorny, Florian B., Schuller, Björn W.
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:
http://arxiv.org/abs/2301.10477
Autor:
Triantafyllopoulos, Andreas, Ottl, Sandra, Gebhard, Alexander, Rituerto-González, Esther, Jaumann, Mirko, Hüttner, Steffen, Dieter, Valerie, Schneeweiß, Patrick, Krauß, Inga, Gerczuk, Maurice, Amiriparian, Shahin, Schuller, Björn W.
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. These injuries are linked to excessive fatigue, which alters how someone runs.
Externí odkaz:
http://arxiv.org/abs/2205.04343
Autor:
Coppock, Harry, Akman, Alican, Bergler, Christian, Gerczuk, Maurice, Brown, Chloë, Chauhan, Jagmohan, Grammenos, Andreas, Hasthanasombat, Apinan, Spathis, Dimitris, Xia, Tong, Cicuta, Pietro, Han, Jing, Amiriparian, Shahin, Baird, Alice, Stappen, Lukas, Ottl, Sandra, Tzirakis, Panagiotis, Batliner, Anton, Mascolo, Cecilia, Schuller, Björn W.
The COVID-19 pandemic has caused massive humanitarian and economic damage. Teams of scientists from a broad range of disciplines have searched for methods to help governments and communities combat the disease. One avenue from the machine learning fi
Externí odkaz:
http://arxiv.org/abs/2202.08981
In this paper, human semen samples from the visem dataset collected by the Simula Research Laboratory are automatically assessed with machine learning methods for their quality in respect to sperm motility. Several regression models are trained to au
Externí odkaz:
http://arxiv.org/abs/2109.08049
Deep neural speech and audio processing systems have a large number of trainable parameters, a relatively complex architecture, and require a vast amount of training data and computational power. These constraints make it more challenging to integrat
Externí odkaz:
http://arxiv.org/abs/2104.11629
Autor:
Amiriparian, Shahin, Sokolov, Artem, Aslan, Ilhan, Christ, Lukas, Gerczuk, Maurice, Hübner, Tobias, Lamanov, Dmitry, Milling, Manuel, Ottl, Sandra, Poduremennykh, Ilya, Shuranov, Evgeniy, Schuller, Björn W.
Text encodings from automatic speech recognition (ASR) transcripts and audio representations have shown promise in speech emotion recognition (SER) ever since. Yet, it is challenging to explain the effect of each information stream on the SER systems
Externí odkaz:
http://arxiv.org/abs/2104.10121
Autor:
Liam Hudson, Jeremy W. Mason, Matthias V. Westphal, Matthieu J. R. Richter, Jonathan R. Thielman, Bruce K. Hua, Christopher J. Gerry, Guoqin Xia, Heather L. Osswald, John M. Knapp, Zher Yin Tan, Praveen Kokkonda, Ben I. C. Tresco, Shuang Liu, Andrew G. Reidenbach, Katherine S. Lim, Jennifer Poirier, John Capece, Simone Bonazzi, Christian M. Gampe, Nichola J. Smith, James E. Bradner, Connor W. Coley, Paul A. Clemons, Bruno Melillo, C. Suk-Yee Hon, Johannes Ottl, Christoph E. Dumelin, Jonas V. Schaefer, Ann Marie E. Faust, Frédéric Berst, Stuart L. Schreiber, Frédéric J. Zécri, Karin Briner
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract Diversity-oriented synthesis (DOS) is a powerful strategy to prepare molecules with underrepresented features in commercial screening collections, resulting in the elucidation of novel biological mechanisms. In parallel to the development of
Externí odkaz:
https://doaj.org/article/36c9d05209eb47b1b03cc9fce00df87d
In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is approached from a deep transfer learning perspective. A large corpus of emotional speech data, EmoSet, is assembled from a number of existing SER corpora. In total, Emo
Externí odkaz:
http://arxiv.org/abs/2103.08310
Autor:
Schuller, Björn W., Batliner, Anton, Bergler, Christian, Mascolo, Cecilia, Han, Jing, Lefter, Iulia, Kaya, Heysem, Amiriparian, Shahin, Baird, Alice, Stappen, Lukas, Ottl, Sandra, Gerczuk, Maurice, Tzirakis, Panagiotis, Brown, Chloë, Chauhan, Jagmohan, Grammenos, Andreas, Hasthanasombat, Apinan, Spathis, Dimitris, Xia, Tong, Cicuta, Pietro, Rothkrantz, Leon J. M., Zwerts, Joeri, Treep, Jelle, Kaandorp, Casper
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 classificati
Externí odkaz:
http://arxiv.org/abs/2102.13468
Autor:
Amiriparian, Shahin, Winokurow, Pawel, Karas, Vincent, Ottl, Sandra, Gerczuk, Maurice, Schuller, Björn W.
Motivated by the attention mechanism of the human visual system and recent developments in the field of machine translation, we introduce our attention-based and recurrent sequence to sequence autoencoders for fully unsupervised representation learni
Externí odkaz:
http://arxiv.org/abs/2005.08722