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Robust Speech Recognition System for Communication Robots in Real Environments., , , , , , and . Humanoids, page 340-345. IEEE, (2006)A Robust Speech Recognition System for Communication Robots in Noisy Environments., , , , , , and . IEEE Trans. Robotics, 24 (3): 759-763 (2008)Collecting Colloquial and Spontaneous-like Sentences from Web Resources for Constructing Chinese Language Models of Speech Recognition., , , and . J. Inf. Process., 21 (2): 168-175 (2013)Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers., , , , , , and . IEICE Trans. Inf. Syst., 99-D (10): 2431-2443 (2016)Speaker adaptive training for deep neural networks embedding linear transformation networks., , , , , and . ICASSP, page 4605-4609. IEEE, (2015)Incorporating local information of the acoustic environments to MAP-based feature compensation and acoustic model adaptation., , , , , and . Comput. Speech Lang., 28 (3): 709-726 (2014)The NICT ASR system for IWSLT2012., , , , , , , and . IWSLT, page 34-37. ISCA, (2012)The NICT ASR system for IWSLT2011., , , , , , and . IWSLT, page 28-33. ISCA, (2011)Multilingual Speech-to-Speech Translation System: VoiceTra., , , , , , , , , and 1 other author(s). MDM (2), page 229-233. IEEE Computer Society, (2013)978-1-4673-6068-5.Tied-State Mixture Language Model for WFST-based Speech Recognition., , , , and . INTERSPEECH, page 174-177. ISCA, (2012)