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Related Experiment Video

Updated: Jun 23, 2026

Data Acquisition and Analysis In Brainstem Evoked Response Audiometry In Mice
08:51

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Comparing methods for deriving the auditory brainstem response to continuous speech in human listeners.

Tong Shan1, Ross K Maddox1,2,3

  • 1Department of Biomedical Engineering, University of Rochester, Rochester, NY, United States.

Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
Summary
This summary is machine-generated.

The auditory brainstem response (ABR) can be derived from speech using temporal response function (TRF) analysis. The auditory nerve model (ANM) regressor with peaky speech offers the best performance for subcortical speech encoding studies.

Keywords:
EEGauditory brainstem responsenatural stimulispeechtemporal response function

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Area of Science:

  • Neuroscience
  • Auditory Neuroscience
  • Speech Processing

Background:

  • Deriving the auditory brainstem response (ABR) from continuous natural speech is crucial for understanding subcortical speech encoding.
  • Temporal response function (TRF) analysis, a deconvolution method, models the auditory pathway as a linear system.

Purpose of the Study:

  • To compare the performance of three regressors—half-wave rectified stimulus (HWR), glottal pulse train (GP), and auditory nerve modeled response (ANM)—for deriving ABR from natural and peaky speech.
  • To evaluate regressors based on signal-to-noise ratio, prediction accuracy, efficiency, and practicality.

Main Methods:

  • EEG recordings were analyzed from subjects listening to unaltered natural speech and synthesized peaky speech.
  • TRFs were derived using HWR, GP, and ANM regressors.
  • Performance metrics including signal-to-noise ratio and prediction accuracy were assessed.

Main Results:

  • The ANM regressor with peaky speech yielded the best performance.
  • ANM with unaltered speech and GP with peaky speech showed comparable, strong results.
  • The HWR regressor demonstrated relatively poorer performance across conditions.

Conclusions:

  • Multiple stimulus and analysis tools can yield high-quality subcortical TRFs for ABR derivation.
  • The choice of regressor and speech type depends on specific experimental requirements.
  • Findings guide future research and clinical applications for ABR from naturalistic speech.