Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models
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Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-319-43958-7_36
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Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Investigation and Development of Methods for Improving Robustness of Automatic Speech Recognition Algorithms in Complex Acoustic Environments;Proceedings of the Scientific-Practical Conference "Research and Development - 2016";2017-12-05
2. Exploring GMM-derived Features for Unsupervised Adaptation of Deep Neural Network Acoustic Models;Speech and Computer;2016
3. A New Perspective on Combining GMM and DNN Frameworks for Speaker Adaptation;Statistical Language and Speech Processing;2016
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