Efficient two-microphone speech enhancement using basic recurrent neural network cell for hearing and hearing aids
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, The University of Texas at Dallas, Richardson, Texas 75080, USA
Funder
National Institute on Deafness and Other Communication Disorders
Publisher
Acoustical Society of America (ASA)
Subject
Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)
Link
http://asa.scitation.org/doi/pdf/10.1121/10.0001600
Cited by 13 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. Using deep learning to improve the intelligibility of a target speaker in noisy multi-talker environments for people with normal hearing and hearing loss;The Journal of the Acoustical Society of America;2024-07-01
2. Directional Noise Suppression Based on Dual-Microphone With Desired Direction Presetting;IEEE Sensors Journal;2024-03-15
3. A speech enhancement method combining beamforming with RNN for hearing aids;Journal of Computational Methods in Sciences and Engineering;2023-12-15
4. Exploring the health literacy status of people with hearing impairment: a systematic review;Archives of Public Health;2023-11-22
5. An acoustic tracking model based on deep learning using two hydrophones and its reverberation transfer hypothesis, applied to whale tracking;Frontiers in Marine Science;2023-08-01
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