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Multi-Stage Multi-Modal Pre-Training for Automatic Speech Recognition.

, , , , , , and . LREC/COLING, page 11969-11980. ELRA and ICCL, (2024)

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Task Oriented Dialogue as a Catalyst for Self-Supervised Automatic Speech Recognition., , , , and . CoRR, (2024)Active Learning for Video Description with Cluster-Regularized Ensemble Ranking., , , and . ACCV (5), volume 12626 of Lecture Notes in Computer Science, page 443-459. Springer, (2020)Domain Adaptation with External Off-Policy Acoustic Catalogs for Scalable Contextual End-to-End Automated Speech Recognition., , , and . ICASSP, page 1-5. IEEE, (2023)GPU accelerated t-distributed stochastic neighbor embedding., , , and . J. Parallel Distributed Comput., (2019)T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data., , , and . SBAC-PAD, page 330-338. IEEE, (2018)Multimodal Attention Merging for Improved Speech Recognition and Audio Event Classification., , , , , and . CoRR, (2023)Probabilities of extinction, weak extinction, permanence, and mutual exclusion in discrete, competitive, Lotka-Volterra systems that involve invading species., and . Math. Comput. Model., 40 (7-8): 809-821 (2004)Content-Context Factorized Representations for Automated Speech Recognition., and . INTERSPEECH, page 61-65. ISCA, (2022)Multi-Modal Pre-Training for Automated Speech Recognition., , , and . ICASSP, page 246-250. IEEE, (2022)Learning Causal Overhypotheses through Exploration in Children and Computational Models., , , , , , , , , and . CLeaR, volume 177 of Proceedings of Machine Learning Research, page 390-406. PMLR, (2022)