From Microphone to Phoneme: An End-to-End Computational Neural Model for Predicting Speech Perception With Cochlear Implants-Reference-Cited by-同舟云学术

From Microphone to Phoneme: An End-to-End Computational Neural Model for Predicting Speech Perception With Cochlear Implants

Author:

Brochier Tim¹^ORCID,Schlittenlacher Josef²,Roberts Iwan³^ORCID,Goehring Tobias⁴^ORCID,Jiang Chen³,Vickers Deborah³,Bance Manohar³^ORCID

Affiliation:

1. Department of Clinical Neurosciences, University of Cambridge, Cambridge, U.K.

2. Division of Human Communication, Development, and Hearing, University of Manchester, U.K.

3. Department of Clinical Neurosciences, University of Cambridge, U.K.

4. Medical Research Council – Cognition and Brain Sciences Unit, University of Cambridge, U.K.

Funder

Cambridge Hearing Trust

Evelyn Trust

William Demont Foundation

HB Allen Trust

Rosetrees Trust Enterprise Fellowship

RNID Flexigrant

Career Development Award

Medical Research Council (MRC), U.K.

MRC Senior Fellowship

National Institute Health Research Programme Grant for Applied Research

Wellcome Trust

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

Cited by 17 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

2. Low-Resourced Phonetic and Prosodic Feature Estimation With Self-Supervised-Learning-based Acoustic Modeling;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

5. Adaptations of Neuroprostheses for Training: A Technological and Systematic Review;2023 IEEE XXX International Conference on Electronics, Electrical Engineering and Computing (INTERCON);2023-11-02