About
I am an applied scientist at Amazon AGI (Alexa). I work on application of foundation models to improve language understanding and automatic speech recognition, in cloud and edge models. I am broadly interested in applying machine learning methods for natural language processing, particularly in generative and understanding tasks.
I completed my masters at Ohio State University & Cornell University. Before that, I was an undergraduate at Birla Intitute of Technology and Science, Pilani.
News
- May 2023: Presenting our work on Dual-attention architecture at ICASSP 2023.
- Feb 2022: Joining Amazon as an applied scientist
- May 2021: Joining Spotify this summer as a machine learning intern
- May 2021: Our paper “Breaking Down the Invisible Wall of Informal Fallacies in Online Discussions” is accepted at ACL 2021
- Apr 2021: Our work on nowcasting epidemic incidence is now available on arxiv
- May 2020: Starting my summer internship at CEDAR team, Inria Saclay
- Apr 2020: Awarded the Global Gateway Grant for research abroad
Select Publications [Google Scholar]
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Saumya Y Sahai, Jing Liu, Thejaswi Muniyappa, Kanthashree M. Sathyendra et al. “Dual-attention Neural Transducers for Efficient Wake Word Spotting in Speech Recognition.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023)}
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Saumya Y Sahai, Oana Balalau and Roxana Horincar. “Breaking Down the Invisible Wall of Informal Fallacies in Online Discussions.” Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021)
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Dravyansh Sharma, Saumya Y Sahai, Neha Chaudhari, Antoine Bruguier. “Improved pronunciation prediction accuracy using morphology.” The ACL Special Interest Group on Computational Morphology and Phonology (ACL 2021)
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Saumya Y Sahai, Dravyansh Sharma. “Predicting and Explaining French Grammatical Gender.” The ACL Special Interest Group on Typology (NAACL 2021) (* denotes equal contribution)
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Saumya Y Sahai, Saket Gurukar, Wasiur R. KhudaBukhsh, Srinivasan Parthasarathy and Grzegorz A. Rempala. “A Machine Learning Model for Nowcasting Epidemic Incidence.” Journal of Mathematical Biosciences (2021)
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Bortik Bandyopadhyay, Pranav Maneriker, Vedang Patel, Saumya Y Sahai, Ping Zhang, and Srinivasan Parthasarathy. “DrugDBEmbed: Semantic Queries on Relational Database using Supervised Column Encodings.” arXiv preprint arXiv:2007.02384 (2020).
Contact
- Email: [lastname].[firstname]@gmail.com