Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning-Reference-Cited by-同舟云学术

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Multi-Frequency Information Enhanced Channel Attention Module for Speaker Representation Learning

Published:2022-09-18 Issue: Volume: Page:
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Container-title:Interspeech 2022
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Author:

Sang Mufan,Hansen John H.L.

Publisher

ISCA

Cited by 9 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. T-EnFP: An Efficient Transformer Encoder-Based System for Driving Behavior Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. 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

3. Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples;IEEE Access;2024

4. Multi-Level Temporal-Channel Speaker Retrieval for Zero-Shot Voice Conversion;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. Voiceprint Recognition under Cross-Scenario Conditions Using Perceptual Wavelet Packet Entropy-Guided Efficient-Channel-Attention–Res2Net–Time-Delay-Neural-Network Model;Mathematics;2023-10-09

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