DNN feature compensation for noise robust speaker verification
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7177532/7230339/07230529.pdf?arnumber=7230529
Cited by 5 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. On the Complementary Role of DNN Multi-Level Enhancement for Noisy Robust Speaker Recognition in an I-Vector Framework;IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences;2020-01-01
2. Noise Robust Speaker Recognition Based on Adaptive Frame Weighting in GMM for i-Vector Extraction;IEEE Access;2019
3. Supervector-based approaches in a discriminative framework for speaker verification in noisy environments;International Journal of Speech Technology;2017-05-04
4. Probabilistic Approach Using Joint Clean and Noisy i-Vectors Modeling for Speaker Recognition;Interspeech 2016;2016-09-08
5. LIA System for the SITW Speaker Recognition Challenge;Interspeech 2016;2016-09-08
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