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Related Experiment Videos

Neural bases of talker normalization.

Patrick C M Wong1, Howard C Nusbaum, Steven L Small

  • 1University of Chicago, IL, USA. pwong@northwestern.edu

Journal of Cognitive Neuroscience
|September 30, 2004
PubMed
Summary

Listeners can identify speech despite voice changes using talker normalization. Brain imaging reveals that processing mixed-talker speech activates temporal and parietal regions more than single-talker speech.

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Area of Science:

  • Neuroscience
  • Auditory Perception
  • Speech Processing

Background:

  • Recognizing speech requires understanding phonemes despite variations in vocal characteristics.
  • Talker normalization is the cognitive process listeners use to achieve this, leveraging vocal cues.
  • The neural underpinnings of talker normalization remain incompletely understood.

Purpose of the Study:

  • To investigate the cortical mechanisms supporting talker normalization.
  • To identify brain regions involved in processing speech from multiple talkers versus a single talker.

Main Methods:

  • Functional magnetic resonance imaging (fMRI) was employed to measure brain activity.
  • Participants listened to target words presented in two conditions: a blocked-talker list (single talker) and a mixed-talker list (multiple talkers).
  • Behavioral performance in word recognition was assessed for both conditions.

Main Results:

  • Both listening conditions activated a widespread cortical network.
  • The mixed-talker condition, compared to the blocked-talker condition, showed significantly greater activation in the middle/superior temporal and superior parietal regions.
  • These findings suggest a specific neural network involved in managing vocal variability.

Conclusions:

  • The temporal-parietal network plays a crucial role in talker normalization.
  • This network is likely involved in the selective attention and processing of acoustic cues (spectral and spatial) necessary for speech recognition in complex, multi-talker environments.
  • Understanding these mechanisms offers insights into auditory scene analysis and speech perception challenges.

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