Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Rajapakshe, Thejan"'
Autor:
Rajapakshe, Thejan, Rana, Rajib, Khalifa, Sara, Sisman, Berrak, Schuller, Bjorn W., Busso, Carlos
Speech Emotion Recognition (SER) is crucial for enabling computers to understand the emotions conveyed in human communication. With recent advancements in Deep Learning (DL), the performance of SER models has significantly improved. However, designin
Externí odkaz:
http://arxiv.org/abs/2403.14083
Speech Emotion Recognition (SER) is a critical enabler of emotion-aware communication in human-computer interactions. Recent advancements in Deep Learning (DL) have substantially enhanced the performance of SER models through increased model complexi
Externí odkaz:
http://arxiv.org/abs/2305.14402
Computers can understand and then engage with people in an emotionally intelligent way thanks to speech-emotion recognition (SER). However, the performance of SER in cross-corpus and real-world live data feed scenarios can be significantly improved.
Externí odkaz:
http://arxiv.org/abs/2207.12248
Reinforcement Learning (RL) is a semi-supervised learning paradigm which an agent learns by interacting with an environment. Deep learning in combination with RL provides an efficient method to learn how to interact with the environment is called Dee
Externí odkaz:
http://arxiv.org/abs/2101.00738
Deep reinforcement learning (deep RL) is a combination of deep learning with reinforcement learning principles to create efficient methods that can learn by interacting with its environment. This has led to breakthroughs in many complex tasks, such a
Externí odkaz:
http://arxiv.org/abs/2005.11172
Deep reinforcement learning (deep RL) is a combination of deep learning with reinforcement learning principles to create efficient methods that can learn by interacting with its environment. This led to breakthroughs in many complex tasks that were p
Externí odkaz:
http://arxiv.org/abs/1910.11256
Autor:
Gamage, Dilrukshi, Whiting, Mark, Rajapakshe, Thejan, Thilakarathne, Haritha, Perera, Indika, Fernando, Shantha
Massive Open Online Courses (MOOCs) use peer assessment to grade open ended questions at scale, allowing students to provide feedback. Relative to teacher based grading, peer assessment on MOOCs traditionally delivers lower quality feedback and fewer
Externí odkaz:
http://arxiv.org/abs/1703.06169
Speech Emotion Recognition (SER) is a critical enabler of emotion-aware communication in human-computer interactions. Deep Learning (DL) has improved the performance of SER models by improving model complexity. However, designing DL architectures req
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6610488ad8b6a01fd6dad69026ce2eeb
Publikováno v:
Australasian Computer Science Week 2022.
Reinforcement Learning (RL) is a semi-supervised learning paradigm which an agent learns by interacting with an environment. Deep learning in combination with RL provides an efficient method to learn how to interact with the environment is called Dee
Deep reinforcement learning (deep RL) is a combination of deep learning with reinforcement learning principles to create efficient methods that can learn by interacting with its environment. This led to breakthroughs in many complex tasks that were p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fda7d96ecf2cbd21e784b1269de3357b
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91690
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91690