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Personalization of CTC-Based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization., , , , , , , , , and 1 other author(s). ICASSP, page 10096-10100. IEEE, (2024)Conformer-Based Speech Recognition On Extreme Edge-Computing Devices., , , , , , , , , and 1 other author(s). NAACL (Industry Track), page 131-139. Association for Computational Linguistics, (2024)Contextualization of ASR with LLM using phonetic retrieval-based augmentation., , , , , , , and . CoRR, (2024)Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices., , , , , , , , , and 3 other author(s). ICASSP, page 1-5. IEEE, (2023)Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization., , , , , , , , , and 1 other author(s). CoRR, (2023)Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices., , , , , , , , , and 3 other author(s). CoRR, (2022)Acoustic Model Fusion For End-to-End Speech Recognition., , , , , , , , , and 1 other author(s). ASRU, page 1-7. IEEE, (2023)Enhancing CTC-based speech recognition with diverse modeling units., , , , and . CoRR, (2024)