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Talker-specific learning in speech perception

L C Nygaard1, D B Pisoni

  • 1Department of Psychology, Emory University, Atlanta, GA 30322, USA. nygaard@social-sci.ss.emory.edu

Perception & Psychophysics
|May 26, 1998
PubMed
Summary
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Learning to recognize different talker voices improves spoken word and sentence recognition. This perceptual learning is most effective when training and testing involve similar speech units, like sentences.

Area of Science:

  • Auditory perception
  • Speech processing
  • Psycholinguistics

Background:

  • Talker identity recognition is crucial for speech comprehension.
  • Perceptual learning can enhance auditory processing skills.

Purpose of the Study:

  • Investigate how learning talker identity affects spoken word and sentence recognition.
  • Determine the influence of training stimuli (words vs. sentences) on voice learning generalization.
  • Assess the impact of talker-specific information on linguistic content processing.

Main Methods:

  • Three experiments involving listeners training to identify 10 talkers' voices.
  • Listeners were trained using isolated words or sentence-length utterances.
  • Intelligibility tests assessed recognition of spoken words and sentences produced by familiar and unfamiliar talkers in noise.

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Main Results:

  • Familiar talker voices improved word identification when trained with words.
  • Voice learning from sentences did not generalize well to isolated word recognition.
  • Voice learning from sentences improved sentence intelligibility for familiar talkers.

Conclusions:

  • Perceptual learning of talker identity enhances speech intelligibility.
  • Generalization of voice learning depends on the talker-specific information available during training and testing.
  • Sensitivity to talker-specific cues impacts the perception of linguistic speech properties.