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Journal Abstract Search

150 related items for PubMed ID: 21218903

  • 1. Analysis of a simplified normalized covariance measure based on binary weighting functions for predicting the intelligibility of noise-suppressed speech.
    Chen F, Loizou PC.
    J Acoust Soc Am; 2010 Dec; 128(6):3715-23. PubMed ID: 21218903
    [Abstract] [Full Text] [Related]

  • 2. Modifying the normalized covariance metric measure to account for nonlinear distortions introduced by noise-reduction algorithms.
    Chen F, Hu Y.
    J Acoust Soc Am; 2013 May; 133(5):EL405-11. PubMed ID: 23656101
    [Abstract] [Full Text] [Related]

  • 3. Extending the articulation index to account for non-linear distortions introduced by noise-suppression algorithms.
    Loizou PC, Ma J.
    J Acoust Soc Am; 2011 Aug; 130(2):986-95. PubMed ID: 21877811
    [Abstract] [Full Text] [Related]

  • 4. Contribution of consonant landmarks to speech recognition in simulated acoustic-electric hearing.
    Chen F, Loizou PC.
    Ear Hear; 2010 Apr; 31(2):259-67. PubMed ID: 20081538
    [Abstract] [Full Text] [Related]

  • 5. An algorithm that improves speech intelligibility in noise for normal-hearing listeners.
    Kim G, Lu Y, Hu Y, Loizou PC.
    J Acoust Soc Am; 2009 Sep; 126(3):1486-94. PubMed ID: 19739761
    [Abstract] [Full Text] [Related]

  • 6. Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.
    Ma J, Hu Y, Loizou PC.
    J Acoust Soc Am; 2009 May; 125(5):3387-405. PubMed ID: 19425678
    [Abstract] [Full Text] [Related]

  • 7. Gain-induced speech distortions and the absence of intelligibility benefit with existing noise-reduction algorithms.
    Kim G, Loizou PC.
    J Acoust Soc Am; 2011 Sep; 130(3):1581-96. PubMed ID: 21895096
    [Abstract] [Full Text] [Related]

  • 8. Predicting the intelligibility of vocoded speech.
    Chen F, Loizou PC.
    Ear Hear; 2011 Sep; 32(3):331-8. PubMed ID: 21206363
    [Abstract] [Full Text] [Related]

  • 9. Perceptual effects of noise reduction by time-frequency masking of noisy speech.
    Brons I, Houben R, Dreschler WA.
    J Acoust Soc Am; 2012 Oct; 132(4):2690-9. PubMed ID: 23039461
    [Abstract] [Full Text] [Related]

  • 10. Investigation of objective measures for intelligibility prediction of noise-reduced speech for Chinese, Japanese, and English.
    Li J, Xia R, Ying D, Yan Y, Akagi M.
    J Acoust Soc Am; 2014 Dec; 136(6):3301. PubMed ID: 25480075
    [Abstract] [Full Text] [Related]

  • 11. Effects of noise suppression on intelligibility. II: An attempt to validate physical metrics.
    Hilkhuysen G, Gaubitch N, Brookes M, Huckvale M.
    J Acoust Soc Am; 2014 Jan; 135(1):439-50. PubMed ID: 24437784
    [Abstract] [Full Text] [Related]

  • 12. Channel selection in the modulation domain for improved speech intelligibility in noise.
    Wójcicki KK, Loizou PC.
    J Acoust Soc Am; 2012 Apr; 131(4):2904-13. PubMed ID: 22501068
    [Abstract] [Full Text] [Related]

  • 13. SNR Loss: A new objective measure for predicting speech intelligibility of noise-suppressed speech.
    Ma J, Loizou PC.
    Speech Commun; 2011 Mar 01; 53(3):340-354. PubMed ID: 21503274
    [Abstract] [Full Text] [Related]

  • 14. Sentence intelligibility during segmental interruption and masking by speech-modulated noise: Effects of age and hearing loss.
    Fogerty D, Ahlstrom JB, Bologna WJ, Dubno JR.
    J Acoust Soc Am; 2015 Jun 01; 137(6):3487-501. PubMed ID: 26093436
    [Abstract] [Full Text] [Related]

  • 15. Phoneme recognition in vocoded maskers by normal-hearing and aided hearing-impaired listeners.
    Phatak SA, Grant KW.
    J Acoust Soc Am; 2014 Aug 01; 136(2):859-66. PubMed ID: 25096119
    [Abstract] [Full Text] [Related]

  • 16. Effect of the division between early and late reflections on intelligibility of ideal binary-masked speech.
    Li J, Xia R, Fang Q, Li A, Pan J, Yan Y.
    J Acoust Soc Am; 2015 May 01; 137(5):2801-10. PubMed ID: 25994708
    [Abstract] [Full Text] [Related]

  • 17. Effect of Energy Equalization on the Intelligibility of Speech in Fluctuating Background Interference for Listeners With Hearing Impairment.
    D'Aquila LA, Desloge JG, Reed CM, Braida LD.
    Trends Hear; 2017 May 01; 21():2331216517710354. PubMed ID: 28602128
    [Abstract] [Full Text] [Related]

  • 18. Relationship between speech recognition in noise and sparseness.
    Li G, Lutman ME, Wang S, Bleeck S.
    Int J Audiol; 2012 Feb 01; 51(2):75-82. PubMed ID: 22107445
    [Abstract] [Full Text] [Related]

  • 19. The Influence of Noise Reduction on Speech Intelligibility, Response Times to Speech, and Perceived Listening Effort in Normal-Hearing Listeners.
    van den Tillaart-Haverkate M, de Ronde-Brons I, Dreschler WA, Houben R.
    Trends Hear; 2017 Feb 01; 21():2331216517716844. PubMed ID: 28656807
    [Abstract] [Full Text] [Related]

  • 20. Predicting speech intelligibility based on the signal-to-noise envelope power ratio after modulation-frequency selective processing.
    Jørgensen S, Dau T.
    J Acoust Soc Am; 2011 Sep 01; 130(3):1475-87. PubMed ID: 21895088
    [Abstract] [Full Text] [Related]

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