How to Boost Anti-Spoofing with X-Vectors-Reference-Cited by-同舟云学术

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How to Boost Anti-Spoofing with X-Vectors

Published:2023-01-09 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Spoken Language Technology Workshop (SLT)
language:
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Author:

Ma Xinyue¹,Zhang Shanshan²,Huang Shen²,Gao Ji²,Hu Ying³,He Liang¹

Affiliation:

1. Tsinghua University,Tsinghua National Laboratory for Information Science and Technology,Department of Electronic Engineering,Beijing,China

2. Tencent Research,Beijing,China

3. School of Information Science and Engineering, Xinjiang University,Ururmqi,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10022052/10022330/10022504.pdf?arnumber=10022504

Reference20 articles.

1. VoxCeleb2: Deep Speaker Recognition

2. Deep Neural Network Embeddings for Text-Independent Speaker Verification;snyder;InterSpeech,2017

3. The Kaldi Speech Recognition Toolkit;povey;Workshop on ASRU,2011

4. A Comparison of Features for Synthetic Speech Detection;kinnunen;Conference of the International Speech Communication Association,2015

5. Large-Margin Softmax Loss for Convolutional Neural Networks;liu;Proc Int Conf Mach Learn,2016

Cited by 2 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. Synthetic Speech Detection Based on the Temporal Consistency of Speaker Features;IEEE Signal Processing Letters;2024

2. Research progress on speech deepfake and its detection techniques;Journal of Image and Graphics;2024

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