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Bayesian linear regression for Hidden Markov Model based on optimizing variational bounds.

, , and . MLSP, page 1-6. IEEE, (2011)

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Exploiting sparsity in stranded hidden Markov models for automatic speech recognition., and . ACSCC, page 1623-1625. IEEE, (2012)Deployable automatic speech recognition systems: Advances and challenges., , and . AT&T Tech. J., 74 (2): 45-56 (1995)Hidden Markov models with first-order equalization for noisy speech recognition., and . IEEE Trans. Signal Process., 40 (9): 2136-2143 (1992)The segmental K-means algorithm for estimating parameters of hidden Markov models, and . IEEE Transactions on Acoustics, Speech and Signal Processing, 38 (9): 1639-1641 (September 1990)Air-Writing Recognition - Part II: Detection and Recognition of Writing Activity in Continuous Stream of Motion Data., , and . IEEE Trans. Hum. Mach. Syst., 46 (3): 436-444 (2016)Non-linear noise compensation for robust speech recognition using Gauss-Newton method., and . ICASSP, page 4796-4799. IEEE, (2011)Discriminative Training for direct minimization of deletion, insertion and substitution errors., , and . ICASSP, page 5328-5331. IEEE, (2011)Introduction to the Special Issue on Processing Reverberant Speech: Methodologies and Applications., , , , and . IEEE Trans. Speech Audio Process., 18 (7): 1673-1675 (2010)Nonlinear Compensation Using the Gauss-Newton Method for Noise-Robust Speech Recognition., and . IEEE Trans. Speech Audio Process., 20 (8): 2191-2206 (2012)Verification of Multi-Class Recognition Decision: A Classification Approach., , and . IEICE Trans. Inf. Syst., 88-D (3): 455-462 (2005)