Speech Bandwidth Extension Using Generative Adversarial Networks

Author:

Li Sen,Villette Stephane,Ramadas Pravin,Sinder Daniel J.

Publisher

IEEE

Cited by 30 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. A joint feature refining and multi-resolution feature learning approach for bandwidth extension of speech coded by EVS codec;Applied Acoustics;2024-06

2. BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Audio Super-Resolution With Robust Speech Representation Learning of Masked Autoencoder;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Real data-based active sonar signal synthesis method;J ACOUST SOC KOREA;2024

5. Efficient bandwidth extension of musical signals using a differentiable harmonic plus noise model;EURASIP Journal on Audio, Speech, and Music Processing;2023-12-05

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