A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation
Author:
Funder
Ministry of Science and Technology of Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Software
Link
http://xplorestaging.ieee.org/ielx7/7274989/9645278/09169708.pdf?arnumber=9169708
Cited by 7 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. ElectrodeNet—A Deep-Learning-Based Sound Coding Strategy for Cochlear Implants;IEEE Transactions on Cognitive and Developmental Systems;2024-02
2. EMG-Based Cross-Subject Silent Speech Recognition Using Conditional Domain Adversarial Network;IEEE Transactions on Cognitive and Developmental Systems;2023-12
3. An Improved Noise Reduction Technique for Enhancing the Intelligibility of Sinewave Vocoded Speech: Implication in Cochlear Implants;IEEE Access;2023
4. Multichannel Speech Enhancement based on Neural Beamforming and a Context-Focused Post-Filtering Network;IEEE Transactions on Cognitive and Developmental Systems;2023
5. An Algorithm for Auto-threshold for Mouth ROI;2022 IEEE Pune Section International Conference (PuneCon);2022-12-15
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