These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

175 related articles for article (PubMed ID: 36298382)

  • 1. Automatic User Preferences Selection of Smart Hearing Aid Using BioAid.
    Siddiqui HUR; Saleem AA; Raza MA; Zafar K; Russo R; Dudley S
    Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298382
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of a "direct-comparison" approach to automatic switching in omnidirectional/directional hearing aids.
    Summers V; Grant KW; Walden BE; Cord MT; Surr RK; Elhilali M
    J Am Acad Audiol; 2008 Oct; 19(9):708-20. PubMed ID: 19418710
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Smartphone-Based System for Learning and Inferring Hearing Aid Settings.
    Aldaz G; Puria S; Leifer LJ
    J Am Acad Audiol; 2016 Oct; 27(9):732-749. PubMed ID: 27718350
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The performance of an automatic acoustic-based program classifier compared to hearing aid users' manual selection of listening programs.
    Searchfield GD; Linford T; Kobayashi K; Crowhen D; Latzel M
    Int J Audiol; 2018 Mar; 57(3):201-212. PubMed ID: 29069954
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An efficient robust sound classification algorithm for hearing aids.
    Nordqvist P; Leijon A
    J Acoust Soc Am; 2004 Jun; 115(6):3033-41. PubMed ID: 15237827
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An environment-adaptive management algorithm for hearing-support devices incorporating listening situation and noise type classifiers.
    Yook S; Nam KW; Kim H; Hong SH; Jang DP; Kim IY
    Artif Organs; 2015 Apr; 39(4):361-8. PubMed ID: 25284135
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Noise reduction results of an adaptive filtering technique for dual-microphone behind-the-ear hearing aids.
    Maj JB; Wouters J; Moonen M
    Ear Hear; 2004 Jun; 25(3):215-29. PubMed ID: 15179113
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Comparison of Environment Classification Among Premium Hearing Instruments.
    Yellamsetty A; Ozmeral EJ; Budinsky RA; Eddins DA
    Trends Hear; 2021; 25():2331216520980968. PubMed ID: 33749410
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An objective measure for selecting microphone modes in OMNI/DIR hearing aid circuits.
    Grant KW; Elhilali M; Shamma SA; Walden BE; Surr RK; Cord MT; Summers V
    Ear Hear; 2008 Apr; 29(2):199-213. PubMed ID: 18595186
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Telecoil-mode hearing aid compatibility performance requirements for wireless and cordless handsets: magnetic signal levels.
    Julstrom S; Kozma-Spytek L; Isabelle S
    J Am Acad Audiol; 2011 Sep; 22(8):515-27. PubMed ID: 22031676
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of Adaptive Noise Management Technologies for School-Age Children with Hearing Loss.
    Wolfe J; Duke M; Schafer E; Jones C; Rakita L
    J Am Acad Audiol; 2017 May; 28(5):415-435. PubMed ID: 28534732
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Use of a Deep Recurrent Neural Network to Reduce Wind Noise: Effects on Judged Speech Intelligibility and Sound Quality.
    Keshavarzi M; Goehring T; Zakis J; Turner RE; Moore BCJ
    Trends Hear; 2018; 22():2331216518770964. PubMed ID: 29708061
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Consistency of Hearing Aid Setting Preference in Simulated Real-World Environments: Implications for Trainable Hearing Aids.
    Walravens E; Keidser G; Hickson L
    Trends Hear; 2020; 24():2331216520933392. PubMed ID: 32602407
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Using genetic algorithms with subjective input from human subjects: implications for fitting hearing aids and cochlear implants.
    Başkent D; Eiler CL; Edwards B
    Ear Hear; 2007 Jun; 28(3):370-80. PubMed ID: 17485986
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic switching between noise classification and speech enhancement for hearing aid devices.
    Saki F; Kehtarnavaz N
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():736-739. PubMed ID: 28268433
    [TBL] [Abstract][Full Text] [Related]  

  • 16. New perspectives on assessing amplification effects.
    Souza PE; Tremblay KL
    Trends Amplif; 2006 Sep; 10(3):119-43. PubMed ID: 16959734
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dialogue enabling speech-to-text user assistive agent system for hearing-impaired person.
    Lee S; Kang S; Han DK; Ko H
    Med Biol Eng Comput; 2016 Jun; 54(6):915-26. PubMed ID: 26753778
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Auditory Measures for the Next Billion Users.
    Slaney M; Lyon RF; Garcia R; Kemler B; Gnegy C; Wilson K; Kanevsky D; Savla S; Cerf VG
    Ear Hear; 2020; 41 Suppl 1():131S-139S. PubMed ID: 33105267
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The relationship between the acceptance of noise and acoustic environments in young adults with normal hearing: a pilot study.
    Franklin CA; White LJ; Franklin TC; Smith-Olinde L
    J Am Acad Audiol; 2014 Jun; 25(6):584-91. PubMed ID: 25313548
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Adaptive environment classification system for hearing aids.
    Lamarche L; Giguère C; Gueaieb W; Aboulnasr T; Othman H
    J Acoust Soc Am; 2010 May; 127(5):3124-35. PubMed ID: 21117761
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.