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Using Kinect for Facial Expression Recognition under Varying Poses and Illumination.

, , и . AMT, том 8610 из Lecture Notes in Computer Science, стр. 395-406. Springer, (2014)

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Violin Fingering Estimation According to the Performer's Skill Level Based on Conditional Random Field., , и . HCI (2), том 9170 из Lecture Notes in Computer Science, стр. 485-494. Springer, (2015)Subunit Modeling for Japanese Sign Language Recognition Based on Phonetically Depend Multi-stream Hidden Markov Models., и . HCI (6), том 8009 из Lecture Notes in Computer Science, стр. 548-555. Springer, (2013)The HMM-based speech synthesis system (HTS) version 2.0., , , , , , и . SSW, стр. 294-299. ISCA, (2007)Laminae: A stochastic modeling-based autonomous performance rendering system that elucidates performer characteristics., , и . ICMC, Michigan Publishing, (2014)Japanese Sign Language Recognition Based on Three Elements of Sign Using Kinect v2 Sensor., , и . HCI (29), том 713 из Communications in Computer and Information Science, стр. 95-102. Springer, (2017)Improving the performance of HMM-based very low bit rate speech coding., , , , , , и . ICASSP (1), стр. 800-803. IEEE, (2003)The HMM-based speech synthesis system (HTS), , , , , , , , и . (2008)Constructing a Highly Accurate Japanese Sign Language Motion Database Including Dialogue., , , , , и . HCI (40), том 1226 из Communications in Computer and Information Science, стр. 76-81. Springer, (2020)A Study on Query-by-Any-Word Based Music Retrieval System., , и . HCI (26), том 434 из Communications in Computer and Information Science, стр. 228-233. Springer, (2014)Real-Time Japanese Sign Language Recognition Based on Three Phonological Elements of Sign., , и . HCI (27), том 618 из Communications in Computer and Information Science, стр. 130-136. Springer, (2016)