ElectrodeNet—A Deep-Learning-Based Sound Coding Strategy for Cochlear Implants-Reference-Cited by-同舟云学术

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ElectrodeNet—A Deep-Learning-Based Sound Coding Strategy for Cochlear Implants

Published:2024-02 Issue:1 Volume:16 Page:346-357
ISSN:2379-8920
Container-title:IEEE Transactions on Cognitive and Developmental Systems
language:
Short-container-title:IEEE Trans. Cogn. Dev. Syst.

Author:

Huang Enoch Hsin-Ho¹^ORCID,Chao Rong²^ORCID,Tsao Yu³^ORCID,Wu Chao-Min¹^ORCID

Affiliation:

1. Department of Electrical Engineering, National Central University, Taoyuan, Taiwan

2. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

3. Research Center for Information Technology Innovation, Academia Sinica, Taipei, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Software

Link

http://xplorestaging.ieee.org/ielx7/7274989/10419120/10123953.pdf?arnumber=10123953

Cited by 2 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. Envelope-Based Multichannel Noise Reduction for Cochlear Implant Applications;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Artificial Intelligence for Cochlear Implants: Review of Strategies, Challenges, and Perspectives;IEEE Access;2024

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