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Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition.

, , , , and . INTERSPEECH, page 2343-2347. ISCA, (2016)

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Recurrent Neural Network Language Model Adaptation for Multi-Genre Broadcast Speech Recognition and Alignment., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 27 (3): 572-582 (2019)Detecting Stuttering Events in Transcripts of Children's Speech., , , , and . SLSP, volume 10583 of Lecture Notes in Computer Science, page 217-228. Springer, (2017)Pre-hospital prediction of adverse outcomes in patients with suspected COVID-19: Development, application and comparison of machine learning and deep learning methods., , , , , , , , , and 5 other author(s). Comput. Biol. Medicine, 151 (Part): 106024 (2022)An improved non-linear method for the computation of a structured low rank approximation of the Sylvester resultant matrix., and . J. Comput. Appl. Math., 237 (1): 253-268 (2013)Automatic detection of behavioural codes in team interactions., , , and . Comput. Speech Lang., (2022)The computation of multiple roots of a polynomial., , and . J. Comput. Appl. Math., 236 (14): 3478-3497 (2012)A non-linear structure preserving matrix method for the low rank approximation of the Sylvester resultant matrix., and . J. Comput. Appl. Math., 234 (12): 3226-3242 (2010)Speaker dependent bottleneck layer training for speaker adaptation in automatic speech recognition., , and . INTERSPEECH, page 2199-2203. ISCA, (2014)Uncertainty-Aware Machine Support for Paper Reviewing on the Interspeech 2019 Submission Corpus., , , , and . INTERSPEECH, page 1808-1812. ISCA, (2020)Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition., , , , and . INTERSPEECH, page 2343-2347. ISCA, (2016)