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Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction., , , , , and . Interspeech, page 4074-4078. ISCA, (2021)Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition., , , , , and . ICASSP, page 6537-6541. IEEE, (2022)Knowledge Distillation for Neural Transducers from Large Self-Supervised Pre-Trained Models., , and . ICASSP, page 8527-8531. IEEE, (2022)PyHTK: Python Library and ASR Pipelines for HTK., , , and . ICASSP, page 6470-6474. IEEE, (2019)Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation., , , , , , , and . CoRR, (2024)Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech Recognition., , , , , , , and . CoRR, (2020)Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition., , , , , and . CoRR, (2021)Combining hybrid DNN-HMM ASR systems with attention-based models using lattice rescoring., , and . Speech Commun., (February 2023)Knowledge Distillation from Multiple Foundation Models for End-to-End Speech Recognition., , , and . CoRR, (2023)Residual Energy-Based Models for End-to-End Speech Recognition., , , , and . Interspeech, page 4069-4073. ISCA, (2021)