Literature DB >> 9348698

Speech intelligibility as a function of the number of channels of stimulation for signal processors using sine-wave and noise-band outputs.

M F Dorman1, P C Loizou, D Rainey.   

Abstract

Vowels, consonants, and sentences were processed through software emulations of cochlear-implant signal processors with 2-9 output channels. The signals were then presented, as either the sum of sine waves at the center of the channels or as the sum of noise bands the width of the channels, to normal-hearing listeners for identification. The results indicate, as previous investigations have suggested, that high levels of speech understanding can be obtained using signal processors with a small number of channels. The number of channels needed for high levels of performance varied with the nature of the test material. For the most difficult material--vowels produced by men, women, and girls--no statistically significant differences in performance were observed when the number of channels was increased beyond 8. For the least difficult material--sentences--no statistically significant differences in performance were observed when the number of channels was increased beyond 5. The nature of the output signal, noise bands or sine waves, made only a small difference in performance. The mechanism mediating the high levels of speech recognition achieved with only few channels of stimulation may be the same one that mediates the recognition of signals produced by speakers with a high fundamental frequency, i.e., the levels of adjacent channels are used to determine the frequency of the input signal. The results of an experiment in which frequency information was altered but temporal information was not altered indicates that vowel recognition is based on information in the frequency domain even when the number of channels of stimulation is small.

Entities:  

Mesh:

Year:  1997        PMID: 9348698     DOI: 10.1121/1.419603

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  94 in total

1.  Current research with cochlear implants at Arizona State University.

Authors:  Michael F Dorman; Anthony Spahr; Rene H Gifford; Sarah Cook; Ting Zhang; Louise Loiselle; William Yost; Lara Cardy; JoAnne Whittingham; David Schramm
Journal:  J Am Acad Audiol       Date:  2012-06       Impact factor: 1.664

2.  Cochlear implantation updates: the Dallas Cochlear Implant Program.

Authors:  Emily A Tobey; Lana Britt; Ann Geers; Philip Loizou; Betty Loy; Peter Roland; Andrea Warner-Czyz; Charles G Wright
Journal:  J Am Acad Audiol       Date:  2012-06       Impact factor: 1.664

3.  Features of stimulation affecting tonal-speech perception: implications for cochlear prostheses.

Authors:  Li Xu; Yuhjung Tsai; Bryan E Pfingst
Journal:  J Acoust Soc Am       Date:  2002-07       Impact factor: 1.840

4.  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

5.  A psychophysical method for measuring spatial resolution in cochlear implants.

Authors:  Mahan Azadpour; Colette M McKay
Journal:  J Assoc Res Otolaryngol       Date:  2011-10-15

6.  Effect of stimulation rate on cochlear implant users' phoneme, word and sentence recognition in quiet and in noise.

Authors:  Robert V Shannon; Rachel J Cruz; John J Galvin
Journal:  Audiol Neurootol       Date:  2010-07-17       Impact factor: 1.854

7.  The intelligibility of noise-vocoded speech: spectral information available from across-channel comparison of amplitude envelopes.

Authors:  Brian Roberts; Robert J Summers; Peter J Bailey
Journal:  Proc Biol Sci       Date:  2010-11-10       Impact factor: 5.349

8.  Vowel discrimination by hearing infants as a function of number of spectral channels.

Authors:  Andrea D Warner-Czyz; Derek M Houston; Linda S Hynan
Journal:  J Acoust Soc Am       Date:  2014-05       Impact factor: 1.840

9.  The process of spoken word recognition in the face of signal degradation.

Authors:  Ashley Farris-Trimble; Bob McMurray; Nicole Cigrand; J Bruce Tomblin
Journal:  J Exp Psychol Hum Percept Perform       Date:  2013-09-16       Impact factor: 3.332

10.  Transfer of auditory perceptual learning with spectrally reduced speech to speech and nonspeech tasks: implications for cochlear implants.

Authors:  Jeremy L Loebach; David B Pisoni; Mario A Svirsky
Journal:  Ear Hear       Date:  2009-12       Impact factor: 3.570

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