Hierarchical Bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation-Reference-Cited by-同舟云学术

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Hierarchical Bayesian combination of plug-in maximum a posteriori decoders in deep neural networks-based speech recognition and speaker adaptation

Published:2017-10 Issue: Volume:98 Page:1-7
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Huang Zhen,Siniscalchi Sabato Marco,Lee Chin-Hui

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference63 articles.

1. Fast speaker adaptation of hybrid NN/HMM model for speech recognition based on discriminative learning of speaker code;Abdel-Hamid,2013

2. Bayesian Theory;Bernardo,1994

3. Pattern Recognition and Machine Learning;Bishop,2006

4. A tutorial on the cross-entropy method;Boer;Ann. Oper. Res.,2005

5. Bagging predictors;Breiman;Mach. Learn.,1996

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