Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Kommineni, Aditya"'
Autor:
Ashvin, Aditya, Lahiri, Rimita, Kommineni, Aditya, Bishop, Somer, Lord, Catherine, Kadiri, Sudarsana Reddy, Narayanan, Shrikanth
The ability to reliably transcribe child-adult conversations in a clinical setting is valuable for diagnosis and understanding of numerous developmental disorders such as Autism Spectrum Disorder. Recent advances in deep learning architectures and av
Externí odkaz:
http://arxiv.org/abs/2409.16135
Autor:
Kommineni, Aditya, Bose, Digbalay, Feng, Tiantian, Kim, So Hyun, Tager-Flusberg, Helen, Bishop, Somer, Lord, Catherine, Kadiri, Sudarsana, Narayanan, Shrikanth
Clinical videos in the context of Autism Spectrum Disorder are often long-form interactions between children and caregivers/clinical professionals, encompassing complex verbal and non-verbal behaviors. Objective analyses of these videos could provide
Externí odkaz:
http://arxiv.org/abs/2409.13606
Autor:
Lee, Jihwan, Kommineni, Aditya, Feng, Tiantian, Avramidis, Kleanthis, Shi, Xuan, Kadiri, Sudarsana, Narayanan, Shrikanth
Speech decoding from EEG signals is a challenging task, where brain activity is modeled to estimate salient characteristics of acoustic stimuli. We propose FESDE, a novel framework for Fully-End-to-end Speech Decoding from EEG signals. Our approach a
Externí odkaz:
http://arxiv.org/abs/2406.08644
Self-supervised learning has produced impressive results in multimedia domains of audio, vision and speech. This paradigm is equally, if not more, relevant for the domain of biosignals, owing to the scarcity of labelled data in such scenarios. The ab
Externí odkaz:
http://arxiv.org/abs/2403.03222
Autor:
Grahama, Benjamin A. T., Brown, Lauren, Chochlakis, Georgios, Dehghani, Morteza, Delerme, Raquel, Friedman, Brittany, Graeden, Ellie, Golazizian, Preni, Hebbar, Rajat, Hejabi, Parsa, Kommineni, Aditya, Salinas, Mayagüez, Sierra-Arévalo, Michael, Trager, Jackson, Weller, Nicholas, Narayanan, Shrikanth
Interactions between the government officials and civilians affect public wellbeing and the state legitimacy that is necessary for the functioning of democratic society. Police officers, the most visible and contacted agents of the state, interact wi
Externí odkaz:
http://arxiv.org/abs/2402.01703
Autor:
Yang, Daniel, Kommineni, Aditya, Alshehri, Mohammad, Mohanty, Nilamadhab, Modi, Vedant, Gratch, Jonathan, Narayanan, Shrikanth
The lack of contextual information in text data can make the annotation process of text-based emotion classification datasets challenging. As a result, such datasets often contain labels that fail to consider all the relevant emotions in the vocabula
Externí odkaz:
http://arxiv.org/abs/2311.03551
Autor:
Feng, Tiantian, Hebbar, Rajat, Mehlman, Nicholas, Shi, Xuan, Kommineni, Aditya, Narayanan, and Shrikanth
Publikováno v:
APSIPA Transactions on Signal and Information Processing, vol. 12, no. 3, 2023
Speech-centric machine learning systems have revolutionized many leading domains ranging from transportation and healthcare to education and defense, profoundly changing how people live, work, and interact with each other. However, recent studies hav
Externí odkaz:
http://arxiv.org/abs/2212.09006
Autor:
Feng, Tiantian, Hebbar, Rajat, Mehlman, Nicholas, Shi, Xuan, Kommineni, Aditya, Narayanan, Shrikanth
Publikováno v:
APSIPA Transactions on Signal & Information Processing; 2023, Vol. 12 Issue 3, p1-51, 51p