Literature DB >> 23710246

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

Fei Chen1, Oldooz Hazrati, Philipos C Loizou.   

Abstract

Reverberation is known to reduce the temporal envelope modulations present in the signal and affect the shape of the modulation spectrum. A non-intrusive intelligibility measure for reverberant speech is proposed motivated by the fact that the area of the modulation spectrum decreases with increasing reverberation. The proposed measure is based on the average modulation area computed across four acoustic frequency bands spanning the signal bandwidth. High correlations (r = 0.98) were observed with sentence intelligibility scores obtained by cochlear implant listeners. Proposed measure outperformed other measures including an intrusive speech-transmission index based measure.

Entities:  

Keywords:  Intelligibility prediction; envelope modulation reduction; non-intrusive measure

Year:  2013        PMID: 23710246      PMCID: PMC3661770          DOI: 10.1016/j.bspc.2012.11.007

Source DB:  PubMed          Journal:  Biomed Signal Process Control        ISSN: 1746-8094            Impact factor:   3.880


  10 in total

1.  A method to determine the speech transmission index from speech waveforms.

Authors:  K L Payton; L D Braida
Journal:  J Acoust Soc Am       Date:  1999-12       Impact factor: 1.840

2.  Analysis of speech-based Speech Transmission Index methods with implications for nonlinear operations.

Authors:  Ray L Goldsworthy; Julie E Greenberg
Journal:  J Acoust Soc Am       Date:  2004-12       Impact factor: 1.840

3.  Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions.

Authors:  Jianfen Ma; Yi Hu; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2009-05       Impact factor: 1.840

4.  Speech enhancement with multichannel Wiener filter techniques in multimicrophone binaural hearing aids.

Authors:  Tim Van den Bogaert; Simon Doclo; Jan Wouters; Marc Moonen
Journal:  J Acoust Soc Am       Date:  2009-01       Impact factor: 1.840

5.  A cochlear frequency-position function for several species--29 years later.

Authors:  D D Greenwood
Journal:  J Acoust Soc Am       Date:  1990-06       Impact factor: 1.840

6.  A channel-selection criterion for suppressing reverberation in cochlear implants.

Authors:  Kostas Kokkinakis; Oldooz Hazrati; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2011-05       Impact factor: 1.840

7.  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

8.  Combined effects of noise and reverberation on speech recognition performance of normal-hearing children and adults.

Authors:  Arlene C Neuman; Marcin Wroblewski; Joshua Hajicek; Adrienne Rubinstein
Journal:  Ear Hear       Date:  2010-06       Impact factor: 3.570

9.  A physical method for measuring speech-transmission quality.

Authors:  H J Steeneken; T Houtgast
Journal:  J Acoust Soc Am       Date:  1980-01       Impact factor: 1.840

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

Authors:  Oldooz Hazrati; Philipos C Loizou
Journal:  Int J Audiol       Date:  2012-02-22       Impact factor: 2.117

  10 in total
  3 in total

1.  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

2.  Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices.

Authors:  Tiago H Falk; Vijay Parsa; João F Santos; Kathryn Arehart; Oldooz Hazrati; Rainer Huber; James M Kates; Susan Scollie
Journal:  IEEE Signal Process Mag       Date:  2015-03       Impact factor: 12.551

3.  Improved Estimation of Parkinsonian Vowel Quality through Acoustic Feature Assimilation.

Authors:  Amr Gaballah; Vijay Parsa; Daryn Cushnie-Sparrow; Scott Adams
Journal:  ScientificWorldJournal       Date:  2021-07-14
  3 in total

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