Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Sriram, Ram D."'
Autor:
Krishnan, Gokul S, Padi, Sarala, Greenberg, Craig S., Ravindran, Balaraman, Manoch, Dinesh, Sriram, Ram D.
Emotion Recognition in Conversations (ERC) is a critical aspect of affective computing, and it has many practical applications in healthcare, education, chatbots, and social media platforms. Earlier approaches for ERC analysis involved modeling both
Externí odkaz:
http://arxiv.org/abs/2312.03756
Automatic emotion recognition plays a key role in computer-human interaction as it has the potential to enrich the next-generation artificial intelligence with emotional intelligence. It finds applications in customer and/or representative behavior a
Externí odkaz:
http://arxiv.org/abs/2202.08974
Automatic speech emotion recognition (SER) is a challenging task that plays a crucial role in natural human-computer interaction. One of the main challenges in SER is data scarcity, i.e., insufficient amounts of carefully labeled data to build and fu
Externí odkaz:
http://arxiv.org/abs/2108.02510
Autor:
Baclawski, Kenneth, Bennett, Michael, Berg-Cross, Gary, Rovetto, Robert J., Sharma, Ravi, Sriram, Ram D.
Publikováno v:
Journal of the Washington Academy of Sciences, 2022 Oct 01. 108(3), 17-48.
Externí odkaz:
https://www.jstor.org/stable/27205821
We present a Multi-Window Data Augmentation (MWA-SER) approach for speech emotion recognition. MWA-SER is a unimodal approach that focuses on two key concepts; designing the speech augmentation method and building the deep learning model to recognize
Externí odkaz:
http://arxiv.org/abs/2010.09895
Akademický článek
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Publikováno v:
Journal of the Washington Academy of Sciences, 2020 Dec 01. 106(4), 1-8.
Externí odkaz:
https://www.jstor.org/stable/27130152
Autor:
Collard, Jacob, Bhat, T. N., Subrahmanian, Eswaran, Sriram, Ram D., Elliot, John T., Kattner, Ursula R., Campbell, Carelyn E., Monarch, Ira
Publikováno v:
Journal of the Washington Academy of Sciences, 2018 Dec 01. 104(4), 31-78.
Externí odkaz:
https://www.jstor.org/stable/26901642
Publikováno v:
Synthesis Lectures on Artificial Intelligence & Machine Learning; 2024, pvii-108, 114p
Autor:
Baclawski, Ken, Bennett, Michael, Berg-Cross, Gary, Dickerson, Leia, Schneider, Todd, Seppälä, Selja, Sharma, Ravi, Sriram, Ram D., Westerinen, Andrea
Publikováno v:
Applied Ontology. 17:233-248
Advances in machine learning and the development of very large knowledge graphs have accompanied a proliferation of ontologies of many types and for many purposes. These ontologies are commonly developed independently, and as a result, it can be diff