Gender Categorization in Cochlear Implant Users.

Purpose: In this study, the authors examined the ability of subjects with cochlear implants (CIs) to discriminate voice gender and how this ability evolved as a function of CI experience. Method: The authors presented a continuum of voice samples created by voice morphing, with 9 intermediate acoust...

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Publicado en:Journal of Speech, Language & Hearing Research Vol. 56; no. 5; pp. 1389 - 1402
Autores principales: Massida, Zoé, Marx, Mathieu, Belin, Pascal, James, Christopher, Fraysse, Bernard, Barone, Pascal, Deguine, Olivier
Formato: Artículo
Publicado: American Speech-Language-Hearing Association Oct2013
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2013
      vid: 56
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      pub: American Speech-Language-Hearing Association
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        10.1044/1092-4388(2013/12-0132)
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        atl: Gender Categorization in Cochlear Implant Users.
      aug:
        au:
          Massida, Zoé
          Marx, Mathieu
          Belin, Pascal
          James, Christopher
          Fraysse, Bernard
          Barone, Pascal
          Deguine, Olivier
        affil:
          Université Toulouse, CerCo, Université Paul Sabatier, France
          Centre Nationale de la Recherche Scientifique (CNRS), CerCo, Toulouse, France
          Voice Neurocognition Laboratory, University of Glasgow, United Kingdom
          Cochlear France, Toulouse
          Service Oto-Rhino-Laryngologie et Oto-Neurologie, Hopital Purpan, Toulouse, France
      su:
        Analysis of variance
        Sex distribution
        Cochlear implants
        Deafness
        Experimental design
        Goodness-of-fit tests
        Research funding
        Speech evaluation
        Physiological aspects of speech
        Speech perception
        Statistics
        T-test (Statistics)
        Data analysis
        Sound spectrography
        Descriptive statistics
      sug:
        subj:
          Analysis of variance
          Sex distribution
          Cochlear implants
          Deafness
          Experimental design
          Goodness-of-fit tests
          Research funding
          Speech evaluation
          Physiological aspects of speech
          Speech perception
          Statistics
          T-test (Statistics)
          Data analysis
          Sound spectrography
          Descriptive statistics
      keyword:
        cochlear implants
        deafness
        gender
        speech perception
        voice
        voice processing
        cochlear implants
        deafness
        gender
        speech perception
        voice
        voice processing
      ab: Purpose: In this study, the authors examined the ability of subjects with cochlear implants (CIs) to discriminate voice gender and how this ability evolved as a function of CI experience. Method: The authors presented a continuum of voice samples created by voice morphing, with 9 intermediate acoustic parameter steps between a typical male and a typical female. This method allowed for the evaluation of gender categorization not only when acoustical features were specific to gender but also for more ambiguous cases, when fundamental frequency or formant distribution were located between typical values. Results: Results showed a global, though variable, deficit for voice gender categorization in CI recipients compared with subjects with normal hearing. This deficit was stronger for ambiguous stimuli in the voice continuum: Average performance scores for CI users were 58%lower than average scores for subjects with normal hearing in cases of ambiguous stimuli and 19% lower for typical male and female voices. The authors found no significant improvement in voice gender categorization with CI experience. Conclusions: These results emphasize the dissociation between recovery of speech recognition and voice feature perception after cochlear implantation. This large and durable deficit may be related to spectral and temporal degradation induced by CI sound coding, or it may be related to central voice processing deficits.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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