Literature DB >> 19194293

Interactions between unsupervised learning and the degree of spectral mismatch on short-term perceptual adaptation to spectrally shifted speech.

Tianhao Li1, John J Galvin, Qian-Jie Fu.   

Abstract

OBJECTIVES: Cochlear implant listeners are able to at least partially adapt to the spectral mismatch associated with the implant device and speech processor via daily exposure and/or explicit training. The overall goal of this study was to investigate interactions between short-term unsupervised learning (i.e., passive adaptation) and the degree of spectral mismatch in normal-hearing listeners' adaptation to spectrally shifted vowels.
DESIGN: Normal-hearing subjects were tested while listening to acoustic cochlear implant simulations. Unsupervised learning was measured by testing vowel recognition repeatedly over a 5 day period; no feedback or explicit training was provided. In experiment 1, subjects listened to 8-channel, sine-wave vocoded speech. The spectral envelope was compressed to simulate a 16 mm cochlear implant electrode array. The analysis bands were fixed and the compressed spectral envelope was linearly shifted toward the base by 3.6, 6, or 8.3 mm to simulate different insertion depths of the electrode array, resulting in a slight, moderate, or severe spectral shift. In experiment 2, half the subjects were exclusively exposed to a severe shift with 8 or 16 channels (exclusive groups), and half the subjects were exposed to 8-channel severely shifted speech, 16-channel severely shifted speech, and 8-channel moderately shifted speech, alternately presented within each test session (mixed group). The region of stimulation in the cochlea was fixed (16 mm in extent and 15 mm from the apex) and the analysis bands were manipulated to create the spectral shift conditions. To determine whether increased spectral resolution would improve adaptation, subjects were exposed to 8- or 16-channel severely shifted speech.
RESULTS: In experiment 1, at the end of the adaptation period, there was no significant difference between 8-channel speech that was spectrally matched and that shifted by 3.6 mm. There was a significant, but less-complete, adaptation to the 6 mm shift and no adaptation to the 8.3 mm shift. In experiment 2, for the mixed exposure group, there was significant adaptation to severely shifted speech with 8 channels and even greater adaptation with 16 channels. For the exclusive exposure group, there was no significant adaptation to severely shifted speech with either 8 or 16 channels.
CONCLUSIONS: These findings suggest that listeners are able to passively adapt to spectral shifts up to 6 mm. For spectral shifts beyond 6 mm, some passive adaptation was observed with mixed exposure to a smaller spectral shift, even at the expense of some low frequency information. Mixed exposure to the smaller shift may have enhanced listeners' access to spectral envelope details that were not accessible when listening exclusively to severely shifted speech. The results suggest that the range of spectral mismatch that can support passive adaptation may be larger than previously reported. Some amount of passive adaptation may be possible with severely shifted speech by exposing listeners to a relatively small mismatch in conjunction with the severe mismatch.

Entities:  

Mesh:

Year:  2009        PMID: 19194293      PMCID: PMC2889179          DOI: 10.1097/AUD.0b013e31819769ac

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  33 in total

1.  Speech recognition with altered spectral distribution of envelope cues.

Authors:  R V Shannon; F G Zeng; J Wygonski
Journal:  J Acoust Soc Am       Date:  1998-10       Impact factor: 1.840

2.  Adaptation by normal listeners to upward spectral shifts of speech: implications for cochlear implants.

Authors:  S Rosen; A Faulkner; L Wilkinson
Journal:  J Acoust Soc Am       Date:  1999-12       Impact factor: 1.840

3.  The effects of short-term training for spectrally mismatched noise-band speech.

Authors:  Qian-Jie Fu; John J Galvin
Journal:  J Acoust Soc Am       Date:  2003-02       Impact factor: 1.840

4.  Adaptation by a cochlear-implant patient to upward shifts in the frequency representation of speech.

Authors:  Michael F Dorman; Darlene Ketten
Journal:  Ear Hear       Date:  2003-10       Impact factor: 3.570

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

Authors:  M F Dorman; P C Loizou; D Rainey
Journal:  J Acoust Soc Am       Date:  1997-10       Impact factor: 1.840

6.  The influence of noise on vowel and consonant cues.

Authors:  Gaurang Parikh; Philipos C Loizou
Journal:  J Acoust Soc Am       Date:  2005-12       Impact factor: 1.840

Review 7.  Perceptual learning and auditory training in cochlear implant recipients.

Authors:  Qian-Jie Fu; John J Galvin
Journal:  Trends Amplif       Date:  2007-09

8.  Simulating the effect of cochlear-implant electrode insertion depth on speech understanding.

Authors:  M F Dorman; P C Loizou; D Rainey
Journal:  J Acoust Soc Am       Date:  1997-11       Impact factor: 1.840

9.  CT-derived estimation of cochlear morphology and electrode array position in relation to word recognition in Nucleus-22 recipients.

Authors:  Margaret W Skinner; Darlene R Ketten; Laura K Holden; Gary W Harding; Peter G Smith; George A Gates; J Gail Neely; G Robert Kletzker; Barry Brunsden; Barbara Blocker
Journal:  J Assoc Res Otolaryngol       Date:  2002-02-27

10.  Comparison of word-, sentence-, and phoneme-based training strategies in improving the perception of spectrally distorted speech.

Authors:  Paula C Stacey; A Quentin Summerfield
Journal:  J Speech Lang Hear Res       Date:  2008-04       Impact factor: 2.297

View more
  16 in total

1.  A Smartphone Application for Customized Frequency Table Selection in Cochlear Implants.

Authors:  Daniel Jethanamest; Mahan Azadpour; Annette M Zeman; Elad Sagi; Mario A Svirsky
Journal:  Otol Neurotol       Date:  2017-09       Impact factor: 2.311

2.  Effects of spectral shifting on speech perception in noise.

Authors:  Tianhao Li; Qian-Jie Fu
Journal:  Hear Res       Date:  2010-09-22       Impact factor: 3.208

3.  Perceptual adaptation of voice gender discrimination with spectrally shifted vowels.

Authors:  Tianhao Li; Qian-Jie Fu
Journal:  J Speech Lang Hear Res       Date:  2010-12-20       Impact factor: 2.297

Review 4.  Auditory implant research at the House Ear Institute 1989-2013.

Authors:  Robert V Shannon
Journal:  Hear Res       Date:  2014-11-17       Impact factor: 3.208

5.  Gradual adaptation to auditory frequency mismatch.

Authors:  Mario A Svirsky; Thomas M Talavage; Shivank Sinha; Heidi Neuburger; Mahan Azadpour
Journal:  Hear Res       Date:  2014-11-06       Impact factor: 3.208

6.  Voice gender discrimination provides a measure of more than pitch-related perception in cochlear implant users.

Authors:  Tianhao Li; Qian-Jie Fu
Journal:  Int J Audiol       Date:  2011-06-23       Impact factor: 2.117

7.  Effects of electrode deactivation on speech recognition in multichannel cochlear implant recipients.

Authors:  Kara C Schvartz-Leyzac; Teresa A Zwolan; Bryan E Pfingst
Journal:  Cochlear Implants Int       Date:  2017-08-10

8.  Effect of Place-Based Versus Default Mapping Procedures on Masked Speech Recognition: Simulations of Cochlear Implant Alone and Electric-Acoustic Stimulation.

Authors:  Margaret T Dillon; Brendan P O'Connell; Michael W Canfarotta; Emily Buss; Joseph Hopfinger
Journal:  Am J Audiol       Date:  2022-04-08       Impact factor: 1.636

9.  Effects of Spectral Resolution and Frequency Mismatch on Speech Understanding and Spatial Release From Masking in Simulated Bilateral Cochlear Implants.

Authors:  Kevin Xu; Shelby Willis; Quinton Gopen; Qian-Jie Fu
Journal:  Ear Hear       Date:  2020 Sep/Oct       Impact factor: 3.562

10.  Individual Variability in Recalibrating to Spectrally Shifted Speech: Implications for Cochlear Implants.

Authors:  Michael L Smith; Matthew B Winn
Journal:  Ear Hear       Date:  2021 Sep/Oct       Impact factor: 3.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.