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Contextual Information Improves OOV Detection in Speech.

, , , and . HLT-NAACL, page 216-224. The Association for Computational Linguistics, (2010)

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Neural Composition: Learning to Generate from Multiple Models., , and . CoRR, (2020)A Joint Language Model With Fine-grain Syntactic Tags., and . EMNLP, page 1114-1123. ACL, (2009)Syntactic Decision Tree LMs: Random Selection or Intelligent Design?, and . EMNLP, page 691-699. ACL, (2011)Scalable Multi Corpora Neural Language Models for ASR., , , , and . INTERSPEECH, page 3910-3914. ISCA, (2019)Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition., , , , , , , , , and 3 other author(s). CoRR, (2024)Measuring tagging performance of a joint language model., and . INTERSPEECH, page 2667-2670. ISCA, (2009)Procter: Pronunciation-Aware Contextual Adapter For Personalized Speech Recognition In Neural Transducers., , , , , , , , , and . ICASSP, page 1-5. IEEE, (2023)Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition., , , , , , , , , and 8 other author(s). ASRU, page 1-8. IEEE, (2023)Contextual Information Improves OOV Detection in Speech., , , and . HLT-NAACL, page 216-224. The Association for Computational Linguistics, (2010)Model combination for Speech Recognition using Empirical Bayes Risk minimization., , , and . SLT, page 235-240. IEEE, (2010)