Dylan V. Pearson
Neuroscience · Indiana University
Publications
16
Citations
33
Est. group size
—
Recurring co-author estimate
Active years
11
Publishing since 2015
Dylan V. Pearson studies how people hear and understand speech, especially how listeners recognize sequences of vowel sounds when there is background noise or when the timing and rhythm of sounds is altered. Recent work also compares how humans and artificial neural networks represent speech. This research sits at the intersection of hearing science, speech perception, and auditory neuroscience.
Publication activity has been modest and fairly steady over the past decade, averaging about one to two papers per year with occasional years reaching three.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Wordsworth: A generative word dataset for comparison of speech representations in humans and neural networks
Scientific Data · 2025
- Recall of vowel sequences in altered rhythm contexts: in-person versus online testing
2021
- Efficiency in glimpsing vowel sequences in fluctuating makers: Effects of temporal fine structure and temporal regularity
The Journal of the Acoustical Society of America · 2019
- Masking of synthesized vowel sequences: The potential roles of perceptual segregation
The Journal of the Acoustical Society of America · 2018
- Recognition of synthesized vowel sequences in steady-state and sinusoidally amplitude-modulated noises
The Journal of the Acoustical Society of America · 2017
- 1422: COMMON REASONS CORE MEASURES ARE NOT MET IN PATIENTS WITH SEVERE SEPSIS AND SEPTIC SHOCK
Critical Care Medicine · 2016
- The Journal of the Acoustical Society of America×8
- Hearing Research×2
- Frontiers in Neuroscience×1
- Frontiers in Psychology×1
- Critical Care Medicine×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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