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Speaker Adaptive Training Localizing Speaker Modules in DNN for Hybrid DNN-HMM Speech Recognizers.

, , , , , , and . IEICE Trans. Inf. Syst., 99-D (10): 2431-2443 (2016)

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Formulation of the kernel logistic regression based on the confusion matrix., , , , and . CEC, page 2327-2334. IEEE, (2015)Bottleneck linear transformation network adaptation for speaker adaptive training-based hybrid DNN-HMM speech recognizer., , , , , and . ICASSP, page 5015-5019. IEEE, (2016)Increasing virtual samples through loss smoothness determination in large geometric margin minimum classification error training., , , , , , and . ICASSP, page 2081-2084. IEEE, (2012)Automatic Node Selection for Deep Neural Networks using Group Lasso Regularization., , , and . CoRR, (2016)Maximum Bayes Boundary-Ness Training For Pattern Classification., , , , and . SPML, page 18-28. ACM, (2019)Compact kernel classifiers trained with minimum classification error criterion., , , and . MLSP, page 1-6. IEEE, (2017)Unknown-multiple signal source clustering problem using ergodic HMM and applied to speaker classification., , and . ICSLP, page 2407-2410. ISCA, (1996)Discriminative metric design for pattern recognition., , and . ICASSP, page 3439-3442. IEEE Computer Society, (1995)Computer-aided diagnosis for distinction between benign and malignant pulmonary nodules on chest radiographs using temporal subtraction images., , , , , , , and . CARS, volume 1268 of International Congress Series, page 911-916. Elsevier, (2004)Speaker recognition based on discriminative feature extraction - optimization of mel-cepstral features using second-order all-pass warping function., , , and . EUROSPEECH, page 779-782. ISCA, (1999)