Joint Speaker Encoder and Neural Back-End Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances-Reference-Cited by-同舟云学术

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Joint Speaker Encoder and Neural Back-End Model for Fully End-to-End Automatic Speaker Verification with Multiple Enrollment Utterances

Published:2023 Issue: Volume: Page:
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Author:

Zeng Chang,Miao Xiaoxiao,Wang Xin,Cooper Erica,Yamagishi Junichi

Publisher

Elsevier BV

Reference66 articles.

1. TristouNet: Triplet Loss for Speaker Turn Embedding;H Bredin;2017 IEEE International Conference on Acoustics, Speech and Signal Processing,2017

2. VoxCeleb2: Deep Speaker Recognition;J S Chung;Proc. Interspeech,2018

3. Joint Estimation of PLDA and Nonlinear Transformations of Speaker Vectors;S Cumani;IEEE/ACM Transactions on Audio, Speech, and Language Processing,2017

4. Front-End Factor Analysis for Speaker Verification;N Dehak;IEEE Transactions on Audio, Speech, and Language Processing,2010

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