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S-vectors and TESA: Speaker Embeddings and a Speaker Authenticator Based
  on Transformer Encoder

S-vectors and TESA: Speaker Embeddings and a Speaker Authenticator Based on Transformer Encoder

11 August 2020
Narla John Metilda Sagaya Mary
S. Umesh
Sandesh V Katta
ArXivPDFHTML

Papers citing "S-vectors and TESA: Speaker Embeddings and a Speaker Authenticator Based on Transformer Encoder"

6 / 6 papers shown
Title
Safe Gradient Flow for Bilevel Optimization
Safe Gradient Flow for Bilevel Optimization
Sina Sharifi
Nazanin Abolfazli
Erfan Yazdandoost Hamedani
Mahyar Fazlyab
46
3
0
27 Jan 2025
Overview of Speaker Modeling and Its Applications: From the Lens of Deep
  Speaker Representation Learning
Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning
Shuai Wang
Zheng-Shou Chen
Kong Aik Lee
Yan-min Qian
Haizhou Li
47
4
0
21 Jul 2024
Non-Contrastive Self-supervised Learning for Utterance-Level Information
  Extraction from Speech
Non-Contrastive Self-supervised Learning for Utterance-Level Information Extraction from Speech
Jaejin Cho
Jesús Villalba
Laureano Moro-Velazquez
Najim Dehak
SSL
39
18
0
10 Aug 2022
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
Nan Zhang
Jianzong Wang
Zhenhou Hong
Chendong Zhao
Xiaoyang Qu
Jing Xiao
44
5
0
26 May 2022
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
266
2,242
0
14 Jun 2018
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
220
7,930
0
17 Aug 2015
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