Hybrid Neural Network with Cross- and Self-Module Attention Pooling for Text-Independent Speaker Verification
Author:
Affiliation:
1. Computer Research Institute of Montreal (CRIM)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096040.pdf?arnumber=10096040
Reference26 articles.
1. Aret: Aggregated residual extended time-delay neural networks for speaker verification;lu;Proc INTER-SPEECH 2020,2020
2. Text-Independent Speaker Verification Employing CNN-LSTM-TDNN Hybrid Networks
3. Deep Speaker Embedding Learning with Multi-level Pooling for Text-independent Speaker Verification
4. On deep speaker embeddings for text-independent speaker recognition
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1. Gmm-Resnext: Combining Generative and Discriminative Models for Speaker Verification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
2. 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
3. On the Use of Cross-module Attention Statistics Pooling for Speaker Verification;2023 11th International Workshop on Biometrics and Forensics (IWBF);2023-04-19
4. Audio-Visual Speaker Verification via Joint Cross-Attention;Speech and Computer;2023
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