Literature DB >> 30636790

Deep Learning Reinvents the Hearing Aid: Finally, wearers of hearing aids can pick out a voice in a crowded room.

DeLiang Wang.   

Abstract

Entities:  

Year:  2017        PMID： 30636790      PMCID： PMC6328256          DOI： 10.1109/MSPEC.2017.7864754

Source DB:  PubMed          Journal:  IEEE Spectr        ISSN： 0018-9235            Impact factor:   2.875


× No keyword cloud information.
  4 in total

1.  A talker-independent deep learning algorithm to increase intelligibility for hearing-impaired listeners in reverberant competing talker conditions.

Authors:  Eric W Healy; Eric M Johnson; Masood Delfarah; DeLiang Wang
Journal:  J Acoust Soc Am       Date:  2020-06       Impact factor: 1.840

2.  Helping People Hear Better with "Smart" Hearing Devices.

Authors:  Tobias Goehring; Jessica Monaghan
Journal:  Front Young Minds       Date:  2022-04-25

Review 3.  Harnessing the Power of Artificial Intelligence in Otolaryngology and the Communication Sciences.

Authors:  Blake S Wilson; Debara L Tucci; David A Moses; Edward F Chang; Nancy M Young; Fan-Gang Zeng; Nicholas A Lesica; Andrés M Bur; Hannah Kavookjian; Caroline Mussatto; Joseph Penn; Sara Goodwin; Shannon Kraft; Guanghui Wang; Jonathan M Cohen; Geoffrey S Ginsburg; Geraldine Dawson; Howard W Francis
Journal:  J Assoc Res Otolaryngol       Date:  2022-04-20

4.  Speech Enhancement by Multiple Propagation through the Same Neural Network.

Authors:  Tomasz Grzywalski; Szymon Drgas
Journal:  Sensors (Basel)       Date:  2022-03-22       Impact factor: 3.576
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.