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Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation.

, , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (5): 895-908 (2018)

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Speech recognition in living rooms: Integrated speech enhancement and recognition system based on spatial, spectral and temporal modeling of sounds., , , , , , , , , and 4 other author(s). Comput. Speech Lang., 27 (3): 851-873 (2013)Error type classification and word accuracy estimation using alignment features from word confusion network., , and . ICASSP, page 4925-4928. IEEE, (2012)Error detection and accuracy estimation in automatic speech recognition using deep bidirectional recurrent neural networks., and . Speech Commun., (2017)Discriminative recognition rate estimation for N-best list and its application to N-best rescoring., , and . ICASSP, page 6832-6836. IEEE, (2013)Novel two-pass search strategy using time-asynchronous shortest-first second-pass beam search., , and . INTERSPEECH, page 290-293. ISCA, (2000)Coarse-Age Loss: A New Training Method Using Coarse-Age Labeled Data for Speaker Age Estimation., , , , , and . APSIPA ASC, page 2213-2220. IEEE, (2023)Context Adaptive Neural Network Based Acoustic Models for Rapid Adaptation., , , , and . IEEE ACM Trans. Audio Speech Lang. Process., 26 (5): 895-908 (2018)Espnet-Summ: Introducing a Novel Large Dataset, Toolkit, and a Cross-Corpora Evaluation of Speech Summarization Systems., , , , , , , , , and . ASRU, page 1-8. IEEE, (2023)Single Channel Target Speaker Extraction and Recognition with Speaker Beam., , , , and . ICASSP, page 5554-5558. IEEE, (2018)Exploiting imbalanced textual and acoustic data for training prosodically-enhanced RNNLMs., , , , and . APSIPA, page 618-621. IEEE, (2017)