On the Use of Cross-module Attention Statistics Pooling for Speaker Verification-Reference-Cited by-同舟云学术

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On the Use of Cross-module Attention Statistics Pooling for Speaker Verification

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 11th International Workshop on Biometrics and Forensics (IWBF)
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Author:

Alam Jahangir¹,Fathan Abderrahim¹

Affiliation:

1. Computer Research Institute of Montreal (CRIM),Montreal,Canada

Funder

Government of Canada

Natural Sciences and Engineering Research Council of Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10156869/10156876/10157564.pdf?arnumber=10157564

Reference27 articles.

1. Aret: Aggregated residual extended time-delay neural networks for speaker verification;lu;Proc Interspeech 2020,2020

2. Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances

3. Text-Independent Speaker Verification Employing CNN-LSTM-TDNN Hybrid Networks

4. Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification

5. On deep speaker embeddings for text-independent speaker recognition

Cited by 1 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. On the Use of Cross- and Self-Module Attentive Statistics Pooling Techniques for Text-Independent Speaker Verification;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

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