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DNN-HMM based Automatic Speech Recognition for HRI Scenarios., , , , , and . HRI, page 150-159. ACM, (2018)Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction., , , , , , and . INTERSPEECH, page 839-843. ISCA, (2017)On combining features for single-channel robust speech recognition in reverberant environments., , , , , and . CoRR, (2019)A perceptually-motivated low-complexity instantaneous linear channel normalization technique applied to speaker verification., , , , , , and . Computer Speech & Language, 31 (1): 1-27 (2015)Robustness to additive noise of locally-normalized cepstral coefficients in speaker verification., , , , , and . INTERSPEECH, page 3011-3015. ISCA, (2015)Highly-Reverberant Real Environment database: HRRE., , , , , , , and . CoRR, (2018)The Use of Locally Normalized Cepstral Coefficients (LNCC) to Improve Speaker Recognition Accuracy in Highly Reverberant Rooms., , , , , , and . INTERSPEECH, page 2373-2377. ISCA, (2016)Automatic On-Line Color Calibration Using Class-Relative Color Spaces., , , and . RoboCup, volume 5001 of Lecture Notes in Computer Science, page 246-253. Springer, (2007)DNN-based uncertainty estimation for weighted DNN-HMM ASR., , and . CoRR, (2017)Multichannel Robot Speech Recognition Database: MChRSR., , , , , and . CoRR, (2018)