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Swallowing function evaluation using deep-learning-based acoustic signal processing.

, , , and . APSIPA, page 961-964. IEEE, (2017)

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Swallowing function evaluation using deep-learning-based acoustic signal processing., , , and . APSIPA, page 961-964. IEEE, (2017)Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images., , and . VLSI Signal Processing, 36 (2-3): 117-124 (2004)Lipreading using deep bottleneck features for optical and depth images., , and . AVSP, page 76-77. ISCA, (2017)CENSREC-AV: evaluation frameworks for audio-visual speech recognition., , , , and . AVSP, page 51-54. ISCA, (2008)Spoken Document Retrieval Using Neighboring Documents and Extended Language Models for Query Likelihood Model., , , , , , and . NTCIR, National Institute of Informatics (NII), (2016)Anomalous Sound Detection Based On Attention Mechanism., , and . EUSIPCO, page 581-585. IEEE, (2021)Multi-angle lipreading using angle classification and angle-specific feature integration., , , , and . ICCSPA, page 1-5. IEEE, (2020)Feature reconstruction using sparse imputation for noise robust audio-visual speech recognition., , and . APSIPA, page 1-4. IEEE, (2012)Stream weight estimation using higher order statistics in multi-modal speech recognition., , and . AVSP, page 181-184. ISCA, (2015)Improvement of Lip Reading Performance in Real Environments Using Speaker and Environmental Adaptation., , , , and . ACPR, page 346-350. IEEE, (2013)