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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)A comparison approach of lowpass type wave active filter using unified circuit block., , и . ISCAS (1), стр. 816-819. IEEE, (2005)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)Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler., , , и . ICASSP (1), стр. 1173-1176. IEEE, (2006)A new approach to designing a feature extractor in speaker identification based on discriminative feature extraction., , , , и . Speech Commun., 35 (3-4): 203-218 (2001)Minimum Classification Error Interactive Training for Speaker Identification., , , , и . ICASSP (1), стр. 641-644. IEEE, (2005)A very low bit rate speech coder using HMM-based speech recognition/synthesis techniques., , , , и . ICASSP, стр. 609-612. IEEE, (1998)Improving the performance of HMM-based very low bit rate speech coding., , , , , , и . ICASSP (1), стр. 800-803. IEEE, (2003)Continuous Speech Recognition Based on General Factor Dependent Acoustic Models., , , , , и . IEICE Trans. Inf. Syst., 88-D (3): 410-417 (2005)Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification., , , , и . IEICE Trans. Inf. Syst., 88-D (3): 418-424 (2005)