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Rapid adaptation for deep neural networks through multi-task learning.

, , , , , and . INTERSPEECH, page 3625-3629. ISCA, (2015)

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Hermitian based Hidden Activation Functions for Adaptation of Hybrid HMM/ANN Models., , and . INTERSPEECH, page 2590-2593. ISCA, (2012)A Bottom-Up Stepwise Knowledge-Integration Approach to Large Vocabulary Continuous Speech Recognition Using Weighted Finite State Machines., , and . INTERSPEECH, page 901-904. ISCA, (2011)Bootstrapping a spoken language identification system using unsupervised integrated sensing and processing decision trees., , , , and . ASRU, page 342-347. IEEE, (2011)A study on cross-language knowledge integration in Mandarin LVCSR., , , , and . ISCSLP, page 315-319. IEEE, (2012)Noise Robust Aurora-2 Speech Recognition Employing a Codebook-Constrained Kalman Filter Preprocessor., , , and . ICASSP (1), page 781-784. IEEE, (2006)Efficient Rapid Prototyping of Image and Video Processing Algorithms., , , and . DSD, page 452-458. IEEE Computer Society, (2004)Penalized Logistic Regression With HMM Log-Likelihood Regressors for Speech Recognition., , , , , and . IEEE Trans. Audio, Speech & Language Processing, 18 (6): 1440-1454 (2010)Bayesian Unsupervised Batch and Online Speaker Adaptation of Activation Function Parameters in Deep Models for Automatic Speech Recognition., , and . IEEE/ACM Trans. Audio, Speech & Language Processing, 25 (1): 60-71 (2017)Feature space maximum a posteriori linear regression for adaptation of deep neural networks., , , , , and . INTERSPEECH, page 2992-2996. ISCA, (2014)Using tone-based extended recognition network to detect non-native Mandarin tone mispronunciations., , , and . APSIPA, page 1-4. IEEE, (2016)