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N-gram Approximation of Latent Words Language Models for Domain Robust Automatic Speech Recognition., , , , , и . IEICE Trans. Inf. Syst., 99-D (10): 2462-2470 (2016)Extracting call-reason segments from contact center dialogs by using automatically acquired boundary expressions., , , , , и . ICASSP, стр. 5584-5587. IEEE, (2011)A Stream-Weight and Threshold Estimation Method Using Adaboost for Multi-Stream Speaker Verification., , и . ICASSP (5), стр. 1081-1084. IEEE, (2006)Neural Confnet Classification: Fully Neural Network Based Spoken Utterance Classification Using Word Confusion Networks., , , , и . ICASSP, стр. 6039-6043. IEEE, (2018)Recurrent Out-of-Vocabulary Word Detection Using Distribution of Features., , , и . INTERSPEECH, стр. 1320-1324. ISCA, (2016)Streaming End-to-End Speech Recognition for Hybrid RNN-T/Attention Architecture., , , , , , , , и . Interspeech, стр. 1787-1791. ISCA, (2021)Latent words recurrent neural network language models., , , , , и . INTERSPEECH, стр. 2380-2384. ISCA, (2015)Agreement and disagreement utterance detection in conversational speech by extracting and integrating local features., , , , и . INTERSPEECH, стр. 2494-2498. ISCA, (2015)Progressive Neural Network-based Knowledge Transfer in Acoustic Models., , , , , , и . APSIPA, стр. 998-1002. IEEE, (2018)Parallel phonetically aware DNNs and LSTM-RNNS for frame-by-frame discriminative modeling of spoken language identification., , , и . ICASSP, стр. 5260-5264. IEEE, (2017)