Literature DB >> 28979990

Generalization of Perceptual Learning of Degraded Speech Across Talkers.

Julia Jones Huyck1, Rachel H Smith2, Sarah Hawkins3, Ingrid S Johnsrude1.   

Abstract

Purpose: We investigated whether perceptual learning of noise-vocoded (NV) speech is specific to a particular talker or accent. Method: Four groups of listeners (n = 18 per group) were first trained by listening to 20 NV sentences that had been recorded by a talker with either the same native accent as the listeners or a different regional accent. They then heard 20 novel NV sentences from either the native- or nonnative-accented talker (test), in a 2 × 2 (Training Talker per Accent × Test Talker per Accent) design.
Results: Word-report scores at test for participants trained and tested with the same (native- or nonnative-accented) talker did not differ from those for participants trained with 1 talker per accent and tested on another. Conclusions: Learning of NV speech generalized completely between talkers. Two additional experiments confirmed this result. Thus, when listeners are trained to understand NV speech, they are not learning talker- or accent-specific features but instead are learning how to use the information available in the degraded signal. The results suggest that people with cochlear implants, who experience spectrally degraded speech, may not be too disadvantaged if they learn to understand speech through their implant by listening primarily to just 1 other talker, such as a spouse.

Entities:  

Mesh:

Year:  2017        PMID: 28979990     DOI: 10.1044/2017_JSLHR-H-16-0300

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  9 in total

1.  Does Implicit Voice Learning Improve Spoken Language Processing? Implications for Clinical Practice.

Authors:  Julie Case; Scott Seyfarth; Susannah V Levi
Journal:  J Speech Lang Hear Res       Date:  2018-05-17       Impact factor: 2.297

2.  When Additional Training Isn't Enough: Further Evidence That Unpredictable Speech Inhibits Adaptation.

Authors:  Kaitlin L Lansford; Stephanie A Borrie; Tyson S Barrett; Cassidy Flechaus
Journal:  J Speech Lang Hear Res       Date:  2020-05-20       Impact factor: 2.297

3.  Many tasks, same outcome: Role of training task on learning and maintenance of noise-vocoded speech.

Authors:  Julia R Drouin; Rachel M Theodore
Journal:  J Acoust Soc Am       Date:  2022-08       Impact factor: 2.482

4.  Rapid but specific perceptual learning partially explains individual differences in the recognition of challenging speech.

Authors:  Karen Banai; Hanin Karawani; Limor Lavie; Yizhar Lavner
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

Review 5.  Improving older adults' understanding of challenging speech: Auditory training, rapid adaptation and perceptual learning.

Authors:  Rebecca E Bieber; Sandra Gordon-Salant
Journal:  Hear Res       Date:  2020-08-07       Impact factor: 3.208

6.  Cross-talker generalization in the perception of nonnative speech: A large-scale replication.

Authors:  Xin Xie; Linda Liu; T Florian Jaeger
Journal:  J Exp Psychol Gen       Date:  2021-08-09

7.  Perceptual Doping: An Audiovisual Facilitation Effect on Auditory Speech Processing, From Phonetic Feature Extraction to Sentence Identification in Noise.

Authors:  Shahram Moradi; Björn Lidestam; Elaine Hoi Ning Ng; Henrik Danielsson; Jerker Rönnberg
Journal:  Ear Hear       Date:  2019 Mar/Apr       Impact factor: 3.570

8.  Recognition of vocoded words and sentences in quiet and multi-talker babble with children and adults.

Authors:  Matthew J Goupell; Garrison T Draves; Ruth Y Litovsky
Journal:  PLoS One       Date:  2020-12-29       Impact factor: 3.240

9.  Lexical Effects on the Perceived Clarity of Noise-Vocoded Speech in Younger and Older Listeners.

Authors:  Terrin N Tamati; Victoria A Sevich; Emily M Clausing; Aaron C Moberly
Journal:  Front Psychol       Date:  2022-04-01
  9 in total

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