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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

125 related items for PubMed ID: 11534846

  • 1. Perceptual time-frequency subtraction algorithm for noise reduction in hearing aids.
    Li M, McAllister HG, Black ND, De Pérez TA.
    IEEE Trans Biomed Eng; 2001 Sep; 48(9):979-88. PubMed ID: 11534846
    [Abstract] [Full Text] [Related]

  • 2. Speech quality evaluation of a sparse coding shrinkage noise reduction algorithm with normal hearing and hearing impaired listeners.
    Sang J, Hu H, Zheng C, Li G, Lutman ME, Bleeck S.
    Hear Res; 2015 Sep; 327():175-85. PubMed ID: 26232529
    [Abstract] [Full Text] [Related]

  • 3. Evaluation of combined dynamic compression and single channel noise reduction for hearing aid applications.
    Kortlang S, Chen Z, Gerkmann T, Kollmeier B, Hohmann V, Ewert SD.
    Int J Audiol; 2018 Jun; 57(sup3):S43-S54. PubMed ID: 28355947
    [Abstract] [Full Text] [Related]

  • 4. 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
    [Abstract] [Full Text] [Related]

  • 5. Acoustic and perceptual effects of magnifying interaural difference cues in a simulated "binaural" hearing aid.
    de Taillez T, Grimm G, Kollmeier B, Neher T.
    Int J Audiol; 2018 Jun; 57(sup3):S81-S91. PubMed ID: 28395561
    [Abstract] [Full Text] [Related]

  • 6. Effective compression and noise reduction configurations for hearing protectors.
    Chung K.
    J Acoust Soc Am; 2007 Feb; 121(2):1090-101. PubMed ID: 17348531
    [Abstract] [Full Text] [Related]

  • 7. Evaluation of the sparse coding shrinkage noise reduction algorithm in normal hearing and hearing impaired listeners.
    Sang J, Hu H, Zheng C, Li G, Lutman ME, Bleeck S.
    Hear Res; 2014 Apr; 310():36-47. PubMed ID: 24495441
    [Abstract] [Full Text] [Related]

  • 8. Real-time multiband dynamic compression and noise reduction for binaural hearing aids.
    Kollmeier B, Peissig J, Hohmann V.
    J Rehabil Res Dev; 1993 Apr; 30(1):82-94. PubMed ID: 8263832
    [Abstract] [Full Text] [Related]

  • 9. Time-frequency masking for speech separation and its potential for hearing aid design.
    DeLiang Wang.
    Trends Amplif; 2008 Dec; 12(4):332-53. PubMed ID: 18974204
    [Abstract] [Full Text] [Related]

  • 10. Speech recognition in noise using bilateral open-fit hearing aids: the limited benefit of directional microphones and noise reduction.
    Magnusson L, Claesson A, Persson M, Tengstrand T.
    Int J Audiol; 2013 Jan; 52(1):29-36. PubMed ID: 22928919
    [Abstract] [Full Text] [Related]

  • 11. A Diagonal-Steering-Based Binaural Beamforming Algorithm Incorporating a Diagonal Speech Localizer for Persons With Bilateral Hearing Impairment.
    Lee JC, Nam KW, Jang DP, Kim IY.
    Artif Organs; 2015 Dec; 39(12):1061-8. PubMed ID: 25959133
    [Abstract] [Full Text] [Related]

  • 12. Improving word recognition in noise among hearing-impaired subjects with a single-channel cochlear noise-reduction algorithm.
    Fink N, Furst M, Muchnik C.
    J Acoust Soc Am; 2012 Sep; 132(3):1718-31. PubMed ID: 22978899
    [Abstract] [Full Text] [Related]

  • 13. A generalized time-frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system.
    Shao Y, Chang CH.
    IEEE Trans Syst Man Cybern B Cybern; 2007 Aug; 37(4):877-89. PubMed ID: 17702286
    [Abstract] [Full Text] [Related]

  • 14. [New developments in hearing aid technology].
    Kompis M.
    Ther Umsch; 2004 Jan; 61(1):35-9. PubMed ID: 14997998
    [Abstract] [Full Text] [Related]

  • 15. Effects of noise, nonlinear processing, and linear filtering on perceived speech quality.
    Arehart KH, Kates JM, Anderson MC.
    Ear Hear; 2010 Jun; 31(3):420-36. PubMed ID: 20440116
    [Abstract] [Full Text] [Related]

  • 16. Comparison of different forms of compression using wearable digital hearing aids.
    Stone MA, Moore BC, Alcántara JI, Glasberg BR.
    J Acoust Soc Am; 1999 Dec; 106(6):3603-19. PubMed ID: 10615700
    [Abstract] [Full Text] [Related]

  • 17. Digital signal processing (DSP) applications for multiband loudness correction digital hearing aids and cochlear implants.
    Dillier N, Frölich T, Kompis M, Bögli H, Lai WK.
    J Rehabil Res Dev; 1993 Dec; 30(1):95-109. PubMed ID: 8263833
    [Abstract] [Full Text] [Related]

  • 18. Perceptual and Model-Based Evaluation of Ideal Time-Frequency Noise Reduction in Hearing-Impaired Listeners.
    Koning R, Bruce IC, Denys S, Wouters J.
    IEEE Trans Neural Syst Rehabil Eng; 2018 Mar; 26(3):687-697. PubMed ID: 29522412
    [Abstract] [Full Text] [Related]

  • 19. Assessment of hearing aid algorithms using a master hearing aid: the influence of hearing aid experience on the relationship between speech recognition and cognitive capacity.
    Rählmann S, Meis M, Schulte M, Kießling J, Walger M, Meister H.
    Int J Audiol; 2018 Jun; 57(sup3):S105-S111. PubMed ID: 28449597
    [Abstract] [Full Text] [Related]

  • 20. Application of adaptive digital signal processing to speech enhancement for the hearing impaired.
    Chabries DM, Christiansen RW, Brey RH, Robinette MS, Harris RW.
    J Rehabil Res Dev; 1987 Jun; 24(4):65-74. PubMed ID: 3430391
    [Abstract] [Full Text] [Related]

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