Literature DB >> 22356300

The combined effects of reverberation and noise on speech intelligibility by cochlear implant listeners.

Oldooz Hazrati1, Philipos C Loizou.   

Abstract

OBJECTIVE: The purpose of this study is to assess the individual effect of reverberation and noise, as well as their combined effect, on speech intelligibility by cochlear implant (CI) users.
DESIGN: Sentence stimuli corrupted by reverberation, noise, and reverberation + noise are presented to 11 CI listeners for word identification. They are tested in two reverberation conditions (T60 = 0.6 s, 0.8 s), two noise conditions (SNR = 5 dB, 10 dB), and four reverberation + noise conditions. STUDY SAMPLE: Eleven CI users participated.
RESULTS: Results indicated that reverberation degrades speech intelligibility to a greater extent than additive noise (speech-shaped noise), at least for the SNR levels tested. The combined effects were greater than those introduced by either reverberation or noise alone.
CONCLUSIONS: The effect of reverberation on speech intelligibility by CI users was found to be larger than that by noise. The results from the present study highlight the importance of testing CI users in reverberant conditions, since testing in noise-alone conditions might underestimate the difficulties they experience in their daily lives where reverberation and noise often coexist.

Entities:  

Mesh:

Year:  2012        PMID: 22356300      PMCID: PMC3733354          DOI: 10.3109/14992027.2012.658972

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  17 in total

1.  Speech perception as a function of electrical stimulation rate: using the Nucleus 24 cochlear implant system.

Authors:  A E Vandali; L A Whitford; K L Plant; G M Clark
Journal:  Ear Hear       Date:  2000-12       Impact factor: 3.570

2.  Cochlear implant speech recognition with speech maskers.

Authors:  Ginger S Stickney; Fan-Gang Zeng; Ruth Litovsky; Peter Assmann
Journal:  J Acoust Soc Am       Date:  2004-08       Impact factor: 1.840

3.  Comparing the effects of reverberation and of noise on speech recognition in simulated electric-acoustic listening.

Authors:  Kate Helms Tillery; Christopher A Brown; Sid P Bacon
Journal:  J Acoust Soc Am       Date:  2012-01       Impact factor: 1.840

4.  Effects of reverberation and masking on speech intelligibility in cochlear implant simulations.

Authors:  Sarah F Poissant; Nathaniel A Whitmal; Richard L Freyman
Journal:  J Acoust Soc Am       Date:  2006-03       Impact factor: 1.840

5.  Reverberant overlap- and self-masking in consonant identification.

Authors:  A K Nábĕlek; T R Letowski; F M Tucker
Journal:  J Acoust Soc Am       Date:  1989-10       Impact factor: 1.840

6.  Monaural and binaural speech perception through hearing aids under noise and reverberation with normal and hearing-impaired listeners.

Authors:  A K Nabelek; J M Pickett
Journal:  J Speech Hear Res       Date:  1974-12

7.  Vowel confusions of hearing-impaired listeners under reverberant and nonreverberant conditions.

Authors:  A K Nabelek; T R Letowski
Journal:  J Speech Hear Disord       Date:  1985-05

8.  Effect of noise and reverberation on binaural and monaural word identification by subjects with various audiograms.

Authors:  A K Nabelek; D Mason
Journal:  J Speech Hear Res       Date:  1981-09

9.  Effect of reverberation and noise on the intelligibility of sentences in cases of presbyacusis.

Authors:  A J Duquesnoy; R Plomp
Journal:  J Acoust Soc Am       Date:  1980-08       Impact factor: 1.840

10.  Children's perception of speech in reverberation.

Authors:  A C Neuman; I Hochberg
Journal:  J Acoust Soc Am       Date:  1983-06       Impact factor: 1.840

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  21 in total

1.  Evaluation of a spectral subtraction strategy to suppress reverberant energy in cochlear implant devices.

Authors:  Kostas Kokkinakis; Christina Runge; Qudsia Tahmina; Yi Hu
Journal:  J Acoust Soc Am       Date:  2015-07       Impact factor: 1.840

2.  Objective speech intelligibility measurement for cochlear implant users in complex listening environments.

Authors:  João F Santos; Stefano Cosentino; Oldooz Hazrati; Philipos C Loizou; Tiago H Falk
Journal:  Speech Commun       Date:  2013-09-01       Impact factor: 2.017

3.  [On the effect of reverberation on speech intelligibility by cochlear implant listeners].

Authors:  R Mühler; M Ziese; D Rostalski; J L Verhey
Journal:  HNO       Date:  2014-01       Impact factor: 1.284

4.  Simultaneous suppression of noise and reverberation in cochlear implants using a ratio masking strategy.

Authors:  Oldooz Hazrati; Seyed Omid Sadjadi; Philipos C Loizou; John H L Hansen
Journal:  J Acoust Soc Am       Date:  2013-11       Impact factor: 1.840

5.  [A sound reproduction system using wave field synthesis to simulate everyday listening conditions].

Authors:  T Weißgerber
Journal:  HNO       Date:  2019-04       Impact factor: 1.284

6.  A deep learning based segregation algorithm to increase speech intelligibility for hearing-impaired listeners in reverberant-noisy conditions.

Authors:  Yan Zhao; DeLiang Wang; Eric M Johnson; Eric W Healy
Journal:  J Acoust Soc Am       Date:  2018-09       Impact factor: 1.840

7.  Evaluation of adaptive dynamic range optimization in adverse listening conditions for cochlear implants.

Authors:  Hussnain Ali; Oldooz Hazrati; Emily A Tobey; John H L Hansen
Journal:  J Acoust Soc Am       Date:  2014-09       Impact factor: 1.840

8.  Effects of early and late reflections on intelligibility of reverberated speech by cochlear implant listeners.

Authors:  Yi Hu; Kostas Kokkinakis
Journal:  J Acoust Soc Am       Date:  2014-01       Impact factor: 1.840

9.  USING AUTOMATIC SPEECH RECOGNITION AND SPEECH SYNTHESIS TO IMPROVE THE INTELLIGIBILITY OF COCHLEAR IMPLANT USERS IN REVERBERANT LISTENING ENVIRONMENTS.

Authors:  Kevin Chu; Leslie Collins; Boyla Mainsah
Journal:  Proc IEEE Int Conf Acoust Speech Signal Process       Date:  2020-05-14

10.  Predicting the intelligibility of reverberant speech for cochlear implant listeners with a non-intrusive intelligibility measure.

Authors:  Fei Chen; Oldooz Hazrati; Philipos C Loizou
Journal:  Biomed Signal Process Control       Date:  2013-05       Impact factor: 3.880

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