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Face recognition based on separable lattice 2-D HMMS using variational bayesian method.

, , , , and . ICASSP, page 2205-2208. IEEE, (2012)

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LMS-like two dimensional adaptive filter with t-distribution assumption and nonsymmetrical half-plane support., and . NSIP, page 419-423. Bogaziçi University Printhouse, (1999)HMM-Based singing voice synthesis and its application to Japanese and English., , , and . ICASSP, page 265-269. IEEE, (2014)Mmdagent - A fully open-source toolkit for voice interaction systems., , and . ICASSP, page 8382-8385. IEEE, (2013)Speech recognition using voice-characteristic-dependent acoustic models., , , , , and . ICASSP (1), page 740-743. IEEE, (2003)Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition., , , , , and . APSIPA, page 1742-1746. IEEE, (2018)Image Recognition Based on Convolutional Neural Networks Using Features Generated from Separable Lattice Hidden Markov Models., , , , , , and . APSIPA, page 324-328. IEEE, (2018)Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification., , , , and . ICASSP (1), page 29-32. IEEE, (2004)Acoustic modeling with contextual additive structure for HMM-based speech recognition., , , and . ICASSP, page 4469-4472. IEEE, (2008)An optimization algorithm of independent mean and variance parameter tying structures for HMM-based speech synthesis., , , and . ICASSP, page 4700-4703. IEEE, (2011)Statistical parametric speech synthesis based on product of experts., , , and . ICASSP, page 4242-4245. IEEE, (2010)