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Research ArticleResearch Article: New Research, Sensory and Motor Systems

The Effect of Speech Masking on the Human Subcortical Response to Continuous Speech

Melissa J. Polonenko and Ross K. Maddox
eNeuro 24 March 2025, 12 (4) ENEURO.0561-24.2025; https://doi.org/10.1523/ENEURO.0561-24.2025
Melissa J. Polonenko
1Department of Speech-Language-Hearing Sciences, University of Minnesota, Minneapolis, Minnesota, 55455
2Departments of Biomedical Engineering and Neuroscience, University of Rochester, Rochester, New York, 14627
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Ross K. Maddox
2Departments of Biomedical Engineering and Neuroscience, University of Rochester, Rochester, New York, 14627
3Kresge Hearing Research Institute, Department of Otolaryngology – Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, 48109
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    Visual Abstract

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    Figure 1.

    Experimental stimuli. A, An example of 10 s from each of the five audiobooks. Dark lines show waveforms, with paler highlighted regions corresponding to voiced portions of speech (i.e., where there were glottal pulses). B, The overall glottal pulse rate (number of pulses per second) and average fundamental frequency (number of pulses per second of voiced speech) of each audiobook.

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    Figure 2.

    Comparison of speech reception thresholds for unaltered speech versus resynthesized peaky speech. Gray lines show individual participants. Black points and error bars show mean and ±1 SEM.

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    Figure 3.

    Grand average waveforms across 25 participants for each SNR (darker colors indicate lower SNR). Wave V is the prominent peak at ∼7.5 ms. Shaded areas show ±1 SEM around the mean.

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    Figure 4.

    Wave V amplitude [in microvolts (A) and normalized (B)] and latency (C), across SNR conditions. Gray lines show individual participants. Black points and error bars show mean and ±1 SEM.

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    Figure 5.

    A, Cumulative distributions of recording time for each participant's ABR to reach at least 0 dB SNR for each stimulus SNR condition. B, Grand average ABR waveform SNR (computed in the 4–12 ms region) for each stimulus SNR condition using all recorded data (30 min per condition). The dark line indicates using all talkers and averaging (e.g., five talkers in the −6 dB condition), with light gray indicating what the SNR would be if only one talker were considered the target. Error bars show ±1 SEM.

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    Figure 6.

    The relationship of speech-in-noise thresholds with the slope of the Wave V amplitude change [in microvolts (A) and normalized (B)] and latency change C, across SNR. Individual participants are plotted as points along with the best linear fit. There was no significant correlation between any Wave V parameter and speech-in-noise perception.

Extended Data

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    Grand average waveforms in response to each of the five stories. Plotted as in Figure 3. Download Figure 3-1, TIF file.

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    Individual participants’ responses for each SNR condition. Wave V peaks and troughs are marked with dots and exes, respectively. Download Figure 3-2, TIF file.

  • Figure 3-3

    Grand average waveforms generated from the auditory nerve model regressor (Shan et al., 2024). Plotted as in Figure 3. Download Figure 3-3, TIF file.

  • Figure 3-4

    Individual participants’ responses for each SNR condition, using the auditory nerve model regressor (Shan et al., 2024). Wave V peaks and troughs are marked with dots and exes, respectively. Download Figure 3-4, TIF file.

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eneuro: 12 (4)
eNeuro
Vol. 12, Issue 4
April 2025
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The Effect of Speech Masking on the Human Subcortical Response to Continuous Speech
Melissa J. Polonenko, Ross K. Maddox
eNeuro 24 March 2025, 12 (4) ENEURO.0561-24.2025; DOI: 10.1523/ENEURO.0561-24.2025

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The Effect of Speech Masking on the Human Subcortical Response to Continuous Speech
Melissa J. Polonenko, Ross K. Maddox
eNeuro 24 March 2025, 12 (4) ENEURO.0561-24.2025; DOI: 10.1523/ENEURO.0561-24.2025
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Keywords

  • auditory brainstem response
  • EEG
  • masking
  • speech
  • temporal response function

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