Speech Enhancement for Cochlear Implant Recipients Using Deep Complex Convolution Transformer With Frequency Transformation-Reference-Cited by-同舟云学术

Speech Enhancement for Cochlear Implant Recipients Using Deep Complex Convolution Transformer With Frequency Transformation

Published:2024 Issue: Volume:32 Page:2616-2629
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Mamun Nursadul¹^ORCID,Hansen John H. L.¹^ORCID

Affiliation:

1. CRSS: Center for Robust Speech Systems, Cochlear Implant Processing Laboratory (CILab) Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX, USA

Funder

National Institutes of Health

National Institute on Deafness and Other Communication Disorders

University of Texas at Dallas from the Distinguished University Chair in Telecommunications Engineering held by J. Hansen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6570655/10304349/10443501.pdf?arnumber=10443501

Reference56 articles.

1. An Auditory-Masking-Threshold-Based Noise Suppression Algorithm GMMSE-AMT[ERB] for Listeners with Sensorineural Hearing Loss

2. Cochlear Implants: System Design, Integration, and Evaluation

3. Enhancement and bandwidth compression of noisy speech

4. Constrained iterative speech enhancement with application to speech recognition

5. Complex Ratio Masking for Monaural Speech Separation

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1. Speech enhancement using deep complex convolutional neural network (DCCNN) model;Signal, Image and Video Processing;2024-08-14

2. Deep learning restores speech intelligibility in multi-talker interference for cochlear implant users;Scientific Reports;2024-06-09