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Multi-modal service operation estimation using DNN-based acoustic bag-of-features.

, , , , and . EUSIPCO, page 2291-2295. IEEE, (2015)

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Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images., , and . VLSI Signal Processing, 36 (2-3): 117-124 (2004)CENSREC-AV: evaluation frameworks for audio-visual speech recognition., , , , and . AVSP, page 51-54. ISCA, (2008)Lipreading using deep bottleneck features for optical and depth images., , and . AVSP, page 76-77. ISCA, (2017)Feature reconstruction using sparse imputation for noise robust audio-visual speech recognition., , and . APSIPA, page 1-4. IEEE, (2012)Swallowing function evaluation using deep-learning-based acoustic signal processing., , , and . APSIPA, page 961-964. IEEE, (2017)Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model., , , , , , and . NTCIR, National Institute of Informatics (NII), (2016)Stream weight estimation using higher order statistics in multi-modal speech recognition., , and . AVSP, page 181-184. ISCA, (2015)GEMSIS - a novel application of speech recognition to emergency and disaster medicine., , , and . INTERSPEECH, page 2569-2572. ISCA, (2007)Investigation of clinical process visualization using EMR data in clinics., , , , and . AMIA, AMIA, (2016)Improvement of Lip Reading Performance in Real Environments Using Speaker and Environmental Adaptation., , , , and . ACPR, page 346-350. IEEE, (2013)