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Retrieve and Copy: Scaling ASR Personalization to Large Catalogs.

, , , , and . EMNLP (Industry Track), page 631-639. Association for Computational Linguistics, (2023)

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In Other News: a Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data., , , , , , , and . NAACL-HLT (2), page 205-213. Association for Computational Linguistics, (2019)Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data., , , and . INTERSPEECH, page 32-36. ISCA, (2018)Fine-Grained Robust Prosody Transfer for Single-Speaker Neural Text-To-Speech., , , and . INTERSPEECH, page 4440-4444. ISCA, (2019)SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models., , , , , , , , , and 4 other author(s). ACL (Findings), page 10018-10035. Association for Computational Linguistics, (2024)Transformer-Transducers for Code-Switched Speech Recognition., , , and . CoRR, (2020)Prosody generation for text-to-speech synthesis.. University of Edinburgh, UK, (2019)British Library, EThOS.Personalization of CTC Speech Recognition Models., , , , , and . SLT, page 302-309. IEEE, (2022)Median-based generation of synthetic speech durations using a non-parametric approach., , , and . SLT, page 686-692. IEEE, (2016)Robust TTS duration modelling using DNNS., , , , , and . ICASSP, page 5130-5134. IEEE, (2016)DNN-based Speech Synthesis for Indian Languages from ASCII text., , , and . SSW, page 70-75. ISCA, (2016)