Literature DB >> 28372046

Voice gender and the segregation of competing talkers: Perceptual learning in cochlear implant simulations.

Jessica R Sullivan1, Peter F Assmann2, Shaikat Hossain2, Erin C Schafer3.   

Abstract

Two experiments explored the role of differences in voice gender in the recognition of speech masked by a competing talker in cochlear implant simulations. Experiment 1 confirmed that listeners with normal hearing receive little benefit from differences in voice gender between a target and masker sentence in four- and eight-channel simulations, consistent with previous findings that cochlear implants deliver an impoverished representation of the cues for voice gender. However, gender differences led to small but significant improvements in word recognition with 16 and 32 channels. Experiment 2 assessed the benefits of perceptual training on the use of voice gender cues in an eight-channel simulation. Listeners were assigned to one of four groups: (1) word recognition training with target and masker differing in gender; (2) word recognition training with same-gender target and masker; (3) gender recognition training; or (4) control with no training. Significant improvements in word recognition were observed from pre- to post-test sessions for all three training groups compared to the control group. These improvements were maintained at the late session (one week following the last training session) for all three groups. There was an overall improvement in masked word recognition performance provided by gender mismatch following training, but the amount of benefit did not differ as a function of the type of training. The training effects observed here are consistent with a form of rapid perceptual learning that contributes to the segregation of competing voices but does not specifically enhance the benefits provided by voice gender cues.

Mesh:

Year:  2017        PMID: 28372046      PMCID: PMC5346103          DOI: 10.1121/1.4976002

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


  43 in total

1.  Time-varying spectral change in the vowels of children and adults.

Authors:  P F Assmann; W F Katz
Journal:  J Acoust Soc Am       Date:  2000-10       Impact factor: 1.840

2.  Talker-identification training using simulations of binaurally combined electric and acoustic hearing: generalization to speech and emotion recognition.

Authors:  Vidya Krull; Xin Luo; Karen Iler Kirk
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

3.  Processing F0 with cochlear implants: Modulation frequency discrimination and speech intonation recognition.

Authors:  Monita Chatterjee; Shu-Chen Peng
Journal:  Hear Res       Date:  2007-11-23       Impact factor: 3.208

4.  Perceptual learning of spectrally degraded speech and environmental sounds.

Authors:  Jeremy L Loebach; David B Pisoni
Journal:  J Acoust Soc Am       Date:  2008-02       Impact factor: 1.840

Review 5.  Perceptual learning and auditory training in cochlear implant recipients.

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

6.  Effects of noise and spectral resolution on vowel and consonant recognition: acoustic and electric hearing.

Authors:  Q J Fu; R V Shannon; X Wang
Journal:  J Acoust Soc Am       Date:  1998-12       Impact factor: 1.840

7.  Gender identification in younger and older adults: use of spectral and temporal cues in noise-vocoded speech.

Authors:  Kara C Schvartz; Monita Chatterjee
Journal:  Ear Hear       Date:  2012 May-Jun       Impact factor: 3.570

8.  Identifying cochlear implant channels with poor electrode-neuron interface: partial tripolar, single-channel thresholds and psychophysical tuning curves.

Authors:  Julie Arenberg Bierer; Kathleen F Faulkner
Journal:  Ear Hear       Date:  2010-04       Impact factor: 3.570

9.  The recognition of sentences in noise by normal-hearing listeners using simulations of cochlear-implant signal processors with 6-20 channels.

Authors:  M F Dorman; P C Loizou; J Fitzke; Z Tu
Journal:  J Acoust Soc Am       Date:  1998-12       Impact factor: 1.840

10.  The role of f (0) and formant frequencies in distinguishing the voices of men and women.

Authors:  James M Hillenbrand; Michael J Clark
Journal:  Atten Percept Psychophys       Date:  2009-07       Impact factor: 2.199

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