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Information Journal Paper

Title

IMPROVING SPEECH INTELLIGIBILITY USING IDEAL BINARY MASK

Pages

  1787-1796

Abstract

 Background: The application of the ideal binary mask (IBM) for speech signal processing provides remarkable intelligibility improvements in both normal-hearing and hearing-impaired listeners. Binary mask widely applies to the time-frequency (T–F) representation of a noisy signal and eliminates units of a signal below a signal-to-noise-ratio (SNR) threshold while retains others.Methods: The factors underlying intelligibility of ideal binary-masked speech were examined and evaluated in the present study. The effects of the local SNR threshold, input SNR level, masker type, and ideal mask-estimator were examined. New estimators including weighted Euclidean and COSH were proposed in which, the human perceptual auditory masking effect and perceptual perception were incorporated.Findings: High-performance plateau for SNR thresholds ranging from −20 to 5 dB was observed.Findings could be used for hearing-aid and cochlear-implant designs.Conclusion: Intelligibility of speech was high even at −10 dB SNR for all maskers tested. Performance assessment shows that our proposed estimators can achieve more significant noise estimation as compared to the Wiener estimator.

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    APA: Copy

    NASERI, NADER, & KERMANI, SAEID. (2013). IMPROVING SPEECH INTELLIGIBILITY USING IDEAL BINARY MASK. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), 31(259), 1787-1796. SID. https://sid.ir/paper/49864/en

    Vancouver: Copy

    NASERI NADER, KERMANI SAEID. IMPROVING SPEECH INTELLIGIBILITY USING IDEAL BINARY MASK. JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S)[Internet]. 2013;31(259):1787-1796. Available from: https://sid.ir/paper/49864/en

    IEEE: Copy

    NADER NASERI, and SAEID KERMANI, “IMPROVING SPEECH INTELLIGIBILITY USING IDEAL BINARY MASK,” JOURNAL OF ISFAHAN MEDICAL SCHOOL (I.U.M.S), vol. 31, no. 259, pp. 1787–1796, 2013, [Online]. Available: https://sid.ir/paper/49864/en

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