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Automatic recognition of suprasegmentals in speech., , , , and . CoRR, (2021)Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models., , , , , , , , , and . CoRR, (2024)Efficient Algorithms for Finding the Closest $l$l-Mers in Biological Data., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (6): 1912-1921 (2019)Improving Bilingual Lexicon Induction for Low Frequency Words., , and . EMNLP (1), page 1310-1314. Association for Computational Linguistics, (2020)Disfluencies and Fine-Tuning Pre-Trained Language Models for Detection of Alzheimer's Disease., , , , , and . INTERSPEECH, page 2162-2166. ISCA, (2020)Speech Emotion Recognition with Multi-Task Learning., , , , and . Interspeech, page 4508-4512. ISCA, (2021)Emerging trends: General fine-tuning (gft)., , , , , and . Nat. Lang. Eng., 28 (4): 519-535 (2022)Target HRRP Length Estimation Based on Significant Energy Aggregation., , and . ICSPCC, page 1-4. IEEE, (2023)Efficient Approximate Algorithms for the Closest Pair Problem in High Dimensional Spaces., , and . PAKDD (3), volume 10939 of Lecture Notes in Computer Science, page 151-163. Springer, (2018)Pause-Encoded Language Models for Recognition of Alzheimer's Disease and Emotion., , and . ICASSP, page 7293-7297. IEEE, (2021)