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Robust Speaker Recognition Based on Stacked Auto-encoders

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成果类型:
期刊论文、会议论文
作者:
Zhifeng Wang;Chunyan Zeng;Surong Duan;Hongjie Ouyang;Hongmin Xu
通讯作者:
Zeng, C.
作者机构:
[Duan S.; Wang Z.; Ouyang H.; Xu H.] Department of Digital Media Technology, Central China Normal University, Wuhan, Hubei 430079, China
[Zeng C.] Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, Hubei University of Technology, Wuhan, Hubei 430068, China
通讯机构:
[Zeng, C.] H
Hubei Key Laboratory for High-efficiency Utilization of Solar Energy and Operation Control of Energy Storage System, China
语种:
英文
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2021
卷:
1264
页码:
390-399
会议名称:
23rd International Conference on Network-Based Information Systems, NBiS 2020
会议论文集名称:
Advances in Networked-Based Information Systems
会议时间:
31 August 2020 through 2 September 2020
主编:
Leonard Barolli<&wdkj&>Kin Fun Li<&wdkj&>Tomoya Enokido<&wdkj&>Makoto Takizawa
出版者:
Springer, Cham
ISBN:
978-3-030-57810-7
基金类别:
Acknowledgements. This research was supported by National Natural Science Foundation of China (No.61901165, 61501199), Science and Technology Research Project of Hubei Education Department (No. Q20191406), Hubei Natural Science Foundation (No. 2017CFB683), and self-determined research funds of CCNU from the colleges’ basic research and operation of MOE (No. CCNU20ZT010).
机构署名:
本校为第一机构
摘要:
Speaker recognition is a biometric modality which utilize speaker’s speech segments to recognize identity, determining whether the test speaker belongs to one of the enrolled speakers. In order to improve the robustness of i-vector framework on cross-channel conditions and explore the nova method for applying deep learning to speaker recognition, the Stacked Auto-encoders is applied to get the abstract extraction of the i-vector instead of applying PLDA. After pre-processing and feature extraction, the speaker and channel independent speeches ...

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