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Raghavendra Pappagari
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Publications
- 2022
- [c12]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-contrastive self-supervised learning of utterance-level speech representations. INTERSPEECH 2022: 4028-4032 - [i8]Jaejin Cho, Raghavendra Pappagari, Piotr Zelasko, Laureano Moro-Velázquez, Jesús Villalba, Najim Dehak:
Non-Contrastive Self-Supervised Learning of Utterance-Level Speech Representations. CoRR abs/2208.05413 (2022) - 2021
- [c8]Raghavendra Pappagari, Jaejin Cho, Sonal Joshi, Laureano Moro-Velázquez, Piotr Zelasko, Jesús Villalba, Najim Dehak:
Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios. Interspeech 2021: 3825-3829 - 2020
- [c6]Raghavendra Pappagari, Jaejin Cho, Laureano Moro-Velázquez, Najim Dehak:
Using State of the Art Speaker Recognition and Natural Language Processing Technologies to Detect Alzheimer's Disease and Assess its Severity. INTERSPEECH 2020: 2177-2181 - 2018
- [c2]Jaejin Cho, Raghavendra Pappagari, Purva Kulkarni, Jesús Villalba, Yishay Carmiel, Najim Dehak:
Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts. INTERSPEECH 2018: 247-251
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last updated on 2023-11-24 18:52 CET by the dblp team
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