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Hierarchical Multi-Stage Word-to-Grapheme Named Entity Corrector for Automatic Speech Recognition.

, , , , and . INTERSPEECH, page 1793-1797. ISCA, (2020)

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Mitigating the Exposure Bias in Sentence-Level Grapheme-to-Phoneme (G2P) Transduction., , , , , , , , , and . CoRR, (2023)Two-Pass End-to-End ASR Model Compression., , , , , , and . ASRU, page 403-410. IEEE, (2021)Semi-Supervised Transfer Learning for Language Expansion of End-to-End Speech Recognition Models to Low-Resource Languages., , , , and . ASRU, page 984-988. IEEE, (2021)HiTNet: Byte-to-BPE Hierarchical Transcription Network for End-to-End Speech Recognition., , , , , , , , , and 1 other author(s). ASRU, page 395-402. IEEE, (2021)Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition., , , , , , , , , and 2 other author(s). IEEE ACM Trans. Audio Speech Lang. Process., 25 (5): 965-979 (2017)Signal separation for robust speech recognition based on phase difference information obtained in the frequency domain., , , and . INTERSPEECH, page 2495-2498. ISCA, (2009)Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models., , , and . INTERSPEECH, page 3028-3032. ISCA, (2018)Data-driven grapheme-to-phoneme representations for a lexicon-free text-to-speech., , , , and . CoRR, (2024)Task Aware Multi-Task Learning for Speech to Text Tasks., , , , , , , , and . ICASSP, page 7723-7727. IEEE, (2021)A Comparative Study of Spatial Speech Separation Techniques to Improve Speech Recognition., , , , , and . ISNN, volume 10878 of Lecture Notes in Computer Science, page 494-502. Springer, (2018)