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Dynamic features in the linear domain for robust automatic speech recognition in a reverberant environment.

, , , and . INTERSPEECH, page 44-47. ISCA, (2009)

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Dialogue Breakdown Detection Based on Nonlinguistic Acoustic Information., , , and . GCCE, page 689-690. IEEE, (2018)Acoustically discriminative language model training with pseudo-hypothesis., , , , , and . Speech Commun., 54 (2): 219-228 (2012)Discriminative re-ranking for automatic speech recognition by leveraging invariant structures., , , and . Speech Commun., (2015)Acoustic Model Adaptation Using First-Order Linear Prediction for Reverberant Speech., , and . IEICE Trans. Inf. Syst., 89-D (3): 908-914 (2006)DNN-based feature transformation for speech recognition using throat microphone., , , and . APSIPA, page 596-599. IEEE, (2017)Unsupervised Lexicon Acquisition from Speech and Text., , , and . ICASSP (4), page 421-424. IEEE, (2007)Acoustic model adaptation using first order prediction for reverberant speech., and . ICASSP (1), page 869-872. IEEE, (2004)Long-Term Spectro-Temporal and Static Harmonic Features for Voice Activity Detection., , and . J. Sel. Topics Signal Processing, 4 (5): 834-844 (2010)Leveraging phonetic context dependent invariant structure for continuous speech recognition., , , , and . ChinaSIP, page 52-56. IEEE, (2014)Multimodal Behavior Analysis Towards Detecting Mild Cognitive Impairment: Preliminary Results on Gait and Speech., , , , , , , , , and 3 other author(s). MedInfo, volume 264 of Studies in Health Technology and Informatics, page 343-347. IOS Press, (2019)