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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Gradient language dominance affects talker learning.

Micah R Bregman1, Sarah C Creel

  • 1Department of Cognitive Science, UC San Diego, La Jolla, CA, United States.

Cognition
|November 12, 2013
PubMed
Summary
This summary is machine-generated.

Language background significantly impacts voice recognition. Both bilingual and monolingual listeners showed faster talker identification in their more familiar language, suggesting a strong link between speech and talker processing.

Keywords:
BilingualismLanguage dominanceMusic perceptionSpeech perceptionTalker recognitionVoice identification

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Auditory Perception

Background:

  • Traditional models posit separate processing for speech recognition and talker identification.
  • Neuroimaging and neuropsychological studies suggest some neural separation.
  • Perceptual studies indicate a familiar-language benefit for talker recognition, hinting at interconnectedness.

Purpose of the Study:

  • To investigate the relationship between speech and talker processing.
  • To examine how language familiarity and age of acquisition influence voice learning.
  • To understand the nature of the language familiarity effect in talker recognition.

Main Methods:

  • Assessed voice learning abilities in bilingual and monolingual listeners.
  • Manipulated language familiarity (first vs. second language) and age of acquisition.
  • Compared talker recognition rates across different language backgrounds.

Main Results:

  • Bilinguals recognized talkers faster in their native language (Korean) than their second language (English).
  • Monolingual English speakers recognized talkers faster in English than Korean.
  • Bilinguals' second-language talker learning rate correlated with their age of acquisition for that language.

Conclusions:

  • Language background significantly influences talker encoding.
  • These findings imply a close relationship between speech and talker representations.
  • The study challenges the notion of completely separate speech and talker processing domains.