Meta-Generalization for Domain-Invariant Speaker Verification-Reference-Cited by-同舟云学术

Meta-Generalization for Domain-Invariant Speaker Verification

Published:2023 Issue: Volume:31 Page:1024-1036
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Zhang Hanyi¹^ORCID,Wang Longbiao¹^ORCID,Lee Kong Aik²^ORCID,Liu Meng¹,Dang Jianwu¹^ORCID,Meng Helen³

Affiliation:

1. Tianjin Key Laboratory of Cognitive Computing and Application, College of Intelligence and Computing, Tianjin University, Tianjin, China

2. Institute for Infocomm Research, A*STAR, Singapore

3. Human-Computer Communications Laboratory (HCCL), Department of Systems Engineering and Engineering Management, Chinese University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Agency for Science, Technology and Research

CRF Core Project Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

http://xplorestaging.ieee.org/ielx7/6570655/9970249/10053562.pdf?arnumber=10053562

Reference63 articles.

1. Domain-Invariant Speaker Vector Projection by Model-Agnostic Meta-Learning

2. Data Augmentation Using Deep Generative Models for Embedding Based Speaker Recognition

3. Channel Adversarial Training for Speaker Verification and Diarization

4. Far-Field End-to-End Text-Dependent Speaker Verification Based on Mixed Training Data with Transfer Learning and Enrollment Data Augmentation

5. Improving out-domain PLDA speaker verification using unsupervised inter-dataset variability compensation approach

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