Improving Deep CNN Networks with Long Temporal Context for Text-Independent Speaker Verification
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9040208/9052899/09053767.pdf?arnumber=9053767
Cited by 29 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. Deep neural networks for automatic speaker recognition do not learn supra-segmental temporal features;Pattern Recognition Letters;2024-05
3. Rep-MCA-former: An efficient multi-scale convolution attention encoder for text-independent speaker verification;Computer Speech & Language;2024-04
4. Noise-Aware Extended U-Net With Split Encoder and Feature Refinement Module for Robust Speaker Verification in Noisy Environments;IEEE Access;2024
5. Joint filter combination-based central difference feature extraction and attention-enhanced Dense-Res2Block network for short-utterance speaker recognition;Expert Systems with Applications;2023-12
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