Analyzing Auditory Evoked Cortical Response to Noise-Suppressed Speech in Cochlear Implant Users Using Mismatch Negativity

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dc.contributor.ORCID0000-0002-4676-4917 (Tan, C-T)
dc.contributor.VIAF78509491 (Tan, C-T)
dc.contributor.authorYu, F.
dc.contributor.authorTan, Chin-Tuan
dc.contributor.authorChen, F.
dc.contributor.utdAuthorTan, Chin-Tuan
dc.date.accessioned2020-04-06T20:38:07Z
dc.date.available2020-04-06T20:38:07Z
dc.date.issued2019-03
dc.descriptionDue to copyright restrictions and/or publisher's policy full text access from Treasures at UT Dallas is limited to current UTD affiliates (use the provided Link to Article).
dc.description.abstractSpeech perception in background noise remains a challenge in cochlear implant (CI) users, and noise-suppression processing (e.g., Wiener filtering) has been commonly utilized to improve speech perception for CI users. It is crucial to objectively examine the perception of the noise-suppressed speech in CI users. The purpose of this work was to investigate whether the mismatch negativity (MMN) response could objectively assess the quality of the noise-suppressed speech as perceived by CI users. A vowel /a/ stimulus was masked by a steady-state noise, creating two noisy stimuli at two signal-to-noise ratios (SNRs) of -5 and +5 dB. The two noisy stimuli were processed by Wiener filtering. Electroencephalogram data obtained from 7 CI users who participated in an auditory oddball paradigm was analyzed to extract the MMN. The two noise-suppressed stimuli served as the deviant stimuli and the clean vowel stimulus as the standard stimulus. Experimental results showed that the noise-suppressed stimuli at -5 dB SNR evoked a larger MMN amplitude than that at +5 dB SNR, accounting for the effect of SNR level on the auditory evoked cortical response to the noise-suppressed speech. The MMN may be potentially used as an objective biomarker to evaluate the perception of the noise-suppressed speech in CI users. © 2019 IEEE.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationYu, F., C. -T Tan, and F. Chen. 2019. "Analyzing Auditory Evoked Cortical Response to Noise-suppressed Speech in Cochlear Implant Users Using Mismatch Negativity." International IEEE/EMBS Conference on Neural Engineering, 2019: 365-368, doi: 10.1109/NER.2019.8717166
dc.identifier.isbn9781538679210
dc.identifier.urihttp://dx.doi.org/10.1109/NER.2019.8717166
dc.identifier.urihttps://hdl.handle.net/10735.1/7836
dc.identifier.volume2019
dc.language.isoen
dc.publisherIEEE Computer Society
dc.relation.isPartOfInternational IEEE/EMBS Conference on Neural Engineering
dc.rights©2019 IEEE
dc.subjectBrain
dc.subjectCochlear implants
dc.subjectLinguistics
dc.subjectSpeech
dc.subjectElectroencephalography
dc.subjectNoise
dc.subjectSpeech perception
dc.subjectWiener filter
dc.subject.meshSignal-To-Noise Ratio
dc.titleAnalyzing Auditory Evoked Cortical Response to Noise-Suppressed Speech in Cochlear Implant Users Using Mismatch Negativity
dc.type.genrearticle

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