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DeCoAR 2.0: Deep Contextualized Acoustic Representations with Vector Quantization., and . CoRR, (2020)Deep Contextualized Acoustic Representations for Semi-Supervised Speech Recognition., , , and . ICASSP, page 6429-6433. IEEE, (2020)End-to-end Anchored Speech Recognition., , , , , and . ICASSP, page 7090-7094. IEEE, (2019)Multi-modal Adversarial Training for Zero-Shot Voice Cloning., , , , , , and . CoRR, (2024)Sub 8-Bit Quantization of Streaming Keyword Spotting Models for Embedded Chipsets., , , , , , and . TSD, volume 13502 of Lecture Notes in Computer Science, page 364-376. Springer, (2022)Deep Contextualized Acoustic Representations For Semi-Supervised Speech Recognition., , , and . CoRR, (2019)Transformer-Transducers for Code-Switched Speech Recognition., , , and . ICASSP, page 5859-5863. IEEE, (2021)Fixed-Point Quantization Aware Training for on-Device Keyword-Spotting., , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Neural Text Normalization with Subword Units., , , , and . NAACL-HLT (2), page 190-196. Association for Computational Linguistics, (2019)SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization., , , and . Comput. Speech Lang., (2017)