Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems-Reference-Cited by-同舟云学术

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Interpretable Spectrum Transformation Attacks to Speaker Recognition Systems

Published:2024 Issue: Volume:32 Page:1531-1545
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:

Yao Jiadi¹,Luo Hong²,Qi Jun³,Zhang Xiao-Lei¹^ORCID

Affiliation:

1. School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, China

2. China Mobile (Hangzhou) Information Technology Company Ltd., Hangzhou, China

3. Department of Computer Science, Hong Kong Baptist University, Hong Kong, China

Funder

National Natural Science Foundation of China

Project of the Science, Technology, and Innovation Commission of Shenzhen Municipality, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10426806.pdf?arnumber=10426806

Reference67 articles.

1. Robust text-independent speaker identification using Gaussian mixture speaker models

2. Speaker Verification Using Adapted Gaussian Mixture Models

3. X-Vectors: Robust DNN Embeddings for Speaker Recognition

4. Speaker recognition based on deep learning: An overview

5. Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification

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