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Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models.

, and . CoRR, (2015)

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Adaptive windows multiple deep residual networks for speech recognition., , and . Expert Syst. Appl., (2020)Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models., and . CoRR, (2015)Dynamic sparsity control in Deep Belief Networks., and . Intell. Data Anal., 21 (4): 963-979 (2017)Word Sense Disambiguation of Farsi Homographs Using Thesaurus and Corpus., and . GoTAL, volume 5221 of Lecture Notes in Computer Science, page 315-323. Springer, (2008)Neural net approaches to speaker verification: comparison with second order statistic measures., and . ICASSP, page 353-356. IEEE Computer Society, (1995)Time-inhomogeneous hidden Bernoulli model: An alternative to hidden Markov model for automatic speech recognition., , and . ICASSP, page 4101-4104. IEEE, (2008)Robust Feature Extraction of Speech Via Noise Reduction in Autocorrelation Domain., , and . MRCS, volume 4105 of Lecture Notes in Computer Science, page 466-473. Springer, (2006)Use of Spectral Peaks in Autocorrelation and Group Delay Domains for Robust Speech Recognition., , and . ICASSP (1), page 517-520. IEEE, (2006)Normal sparse Deep Belief Network., and . IJCNN, page 1-7. IEEE, (2015)A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet)., and . CoRR, (2014)