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Vowel perception in severe noise

Dissertation (MEng)--University of Pretoria, 2010.

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Other Authors: Hanekom, J.J. (Johannes Jurgens)
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Hanekom, J.J. (Johannes Jurgens)
author_browse Hanekom, J.J. (Johannes Jurgens)
author_facet Hanekom, J.J. (Johannes Jurgens)
collection Thesis
dc_rights_str_mv © 2010 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria
description Dissertation (MEng)--University of Pretoria, 2010.
format Thesis
id oai:repository.up.ac.za:2263/22971
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:33.011Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/22971 Vowel perception in severe noise Hanekom, J.J. (Johannes Jurgens) rikus.swanepoel@gmail.com Swanepoel, Rikus Formant Multidimensional scaling Acoustic model Cochlear implant Speech-shaped noise Acoustic cues UCTD Dissertation (MEng)--University of Pretoria, 2010. A model that can accurately predict speech recognition for cochlear implant (CI) listeners is essential for the optimal fitting of cochlear implants. By implementing a CI acoustic model that mimics CI speech processing, the challenge of predicting speech perception in cochlear implants can be simplified. As a first step in predicting the recognition of speech processed through an acoustic model, vowel perception in severe speech-shaped noise was investigated in the current study. The aim was to determine the acoustic cues that listeners use to recognize vowels in severe noise and make suggestions regarding a vowel perception predictor. It is known that formants play an important role in quiet, while in severe noise the role of formants is still unknown. The relative importance of F1 and F2 is also of interest, since the masking of noise is not always evenly distributed over the vowel spectrum. The problem was addressed by synthesizing vowels consisting of either detailed spectral shape or formant information. F1 and F2 were also suppressed to examine the effect in severe noise. The synthetic stimuli were presented to listeners in quiet and signal-to-noise ratios of 0 dB, -5 dB and -10 dB. Results showed that in severe noise, vowels synthesized according to the whole-spectrum were recognized significantly better than vowels containing only formants. Multidimensional scaling and FITA analysis indicated that formants were still perceived and extracted by the human auditory system in severe noise, especially when the vowel spectrum consisted of the whole spectral shape. Although F1 and F2 vary in importance in listening conditions of quiet and less noisy conditions, the role of the two cues appears to be similar in severe noise. It was suggested that not only the availability formants, but also details of the vowel spectral shape can help to predict vowel recognition in severe noise to a certain degree. Electrical, Electronic and Computer Engineering unrestricted 2013-09-06T14:11:00Z 2013-03-12 2013-09-06T14:11:00Z 2013-03-05 2010 2013-03-05 Dissertation Swanepoel, R 2010, Vowel perception in severe noise, MEng dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/22971 > E11/313/gm http://hdl.handle.net/2263/22971 http://upetd.up.ac.za/thesis/available/etd-03052013-165709/ © 2010 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria application/pdf University of Pretoria
spellingShingle Formant
Multidimensional scaling
Acoustic model
Cochlear implant
Speech-shaped noise
Acoustic cues
UCTD
Vowel perception in severe noise
title Vowel perception in severe noise
title_full Vowel perception in severe noise
title_fullStr Vowel perception in severe noise
title_full_unstemmed Vowel perception in severe noise
title_short Vowel perception in severe noise
title_sort vowel perception in severe noise
topic Formant
Multidimensional scaling
Acoustic model
Cochlear implant
Speech-shaped noise
Acoustic cues
UCTD
url http://hdl.handle.net/2263/22971
http://upetd.up.ac.za/thesis/available/etd-03052013-165709/