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DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation.

, , , , , , and . ACL (1), page 5810-5822. Association for Computational Linguistics, (2023)

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A Tale of Two Modalities for Video Captioning., , , , , and . ICCV Workshops, page 3708-3712. IEEE, (2019)Investigations into the Crandem Approach to Word Recognition., , , , and . HLT-NAACL, page 725-728. The Association for Computational Linguistics, (2010)Towards Zero-Shot Code-Switched Speech Recognition., , , , and . ICASSP, page 1-5. IEEE, (2023)Error-Driven Fixed-Budget ASR Personalization for Accented Speakers., , , and . ICASSP, page 7033-7037. IEEE, (2021)Hindi Wordnet for Language Teaching: Experiences and Lessons Learnt., , , , , , , , and . GWC, page 314-323. Global Wordnet Association, (2018)Code-switched Language Models Using Dual RNNs and Same-Source Pretraining., , and . EMNLP, page 3078-3083. Association for Computational Linguistics, (2018)Language coverage for mismatched crowdsourcing., , and . ITA, page 1-9. IEEE, (2016)Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding., , and . ACL (1), page 6675-6689. Association for Computational Linguistics, (2022)Improving RNN-Transducers with Acoustic LookAhead., , , and . INTERSPEECH, page 4419-4423. ISCA, (2023)Low Resource ASR: The Surprising Effectiveness of High Resource Transliteration., , , , , and . Interspeech, page 1529-1533. ISCA, (2021)