NeXt-TDNN: Modernizing Multi-Scale Temporal Convolution Backbone for Speaker Verification-Reference-Cited by-同舟云学术

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NeXt-TDNN: Modernizing Multi-Scale Temporal Convolution Backbone for Speaker Verification

Published:2024-04-14 Issue: Volume: Page:11186-11190
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Heo Hyun-Jun¹,Shin Ui-Hyeop¹,Lee Ran²,Cheon YoungJu²,Park Hyung-Min¹

Affiliation:

1. Sogang University,Department of Electronic Engineering,Seoul,Republic of Korea

2. Hyundai Motor Company,Seoul,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447037.pdf?arnumber=10447037

Reference29 articles.

1. Front-End Factor Analysis for Speaker Verification

2. Deep neural networks for small footprint text-dependent speaker verification

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

4. Speaker Recognition for Multi-speaker Conversations Using X-vectors

5. Jhu-HLTCOE System for the Voxsrc Speaker Recognition Challenge

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. Progressive channel fusion for more efficient TDNN on speaker verification;Speech Communication;2024-09

2. Attentional multi-feature fusion for spoofing-aware speaker verification;International Journal of Speech Technology;2024-06

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