A Deep Learning Based Approach to Synthesize Intelligible Speech with Limited Temporal Envelope Information-Reference-Cited by-同舟云学术

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A Deep Learning Based Approach to Synthesize Intelligible Speech with Limited Temporal Envelope Information

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
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Author:

Hsiao Ching-Ju¹,Chen Fei²,Han Ji-Yan¹,Zheng Wei-Zhong¹,Lai Ying-Hui³

Affiliation:

1. National Yang Ming Chiao Tung University,Department of Biomedical Engineering,Taipei,Taiwan

2. Southern University of Science and Technology,Department of Electrical and Electronic Engineering,Shenzhen,China

3. National Yang Ming Chiao Tung University,Department of Biomedical Engineering and Medical Device Innovation & Translation Center,Taipei,Taiwan

Funder

Ministry of Science and Technology of Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871247.pdf?arnumber=9871247

Reference30 articles.

1. Band importance functions of listeners with cochlear implants using clinical maps

2. Deep learning;yan;Nature,2015

3. A logical calculus of the ideas immanent in nervous activity

4. Deep Learning–Based Noise Reduction Approach to Improve Speech Intelligibility for Cochlear Implant Recipients

5. Multi-objective learning based speech enhancement method to increase speech quality and intelligibility for hearing aid device users

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