Frequency and Temporal Convolutional Attention for Text-Independent Speaker Recognition-Reference-Cited by-同舟云学术

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Frequency and Temporal Convolutional Attention for Text-Independent Speaker Recognition

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Yadav Sarthak,Rai Atul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9040208/9052899/09054440.pdf?arnumber=9054440

Cited by 54 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. MEConformer: Highly representative embedding extractor for speaker verification via incorporating selective convolution into deep speaker encoder;Expert Systems with Applications;2024-06

2. Resformer: Local Frame-Level Feature and Global Segment-Level Feature Joint Learning for Speaker Verification;Circuits, Systems, and Signal Processing;2024-04-11

3. Exploring the Horizons of Speaker Recognition: Contemporary Advancements and Prospective Trajectories in the Age of Deep Learning;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Adaptive attention mechanism for single channel speech enhancement;Multimedia Tools and Applications;2024-04-04

5. Multi-level attention network: Mixed time–frequency channel attention and multi-scale self-attentive standard deviation pooling for speaker recognition;Engineering Applications of Artificial Intelligence;2024-02

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