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L. Miller

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Open access Aug 2026

Auditory Brainstem Encoding of Speech-in-Noise Predicts Word Identification, Narrative Comprehension, and Subjective Listening Effort in a Selective Attention Task

The auditory brainstem plays a crucial role in speech-in-noise (SiN) listening, refining numerous acoustic features such as pitch and spatial location under continual descending influence from the cortex. However, the difficulty of characterizing brainstem activity during continuous speech listening has obscured its fu...

Kelsey Mankel, Daniel C. Comstock, B. M. Bormann et al. · 1 citation
Open access Sep 2026

Predicting Speech in Noise Perception using Measures of Neural Entrainment

This investigation aims to quantify how well a person is able to neurally entrain to a continuous narrative using a temporal response function (TRF), then evaluate if that TRF measure is correlated with an individual’s performance on a selective attention and narrative comprehension task.

B. M. Bormann, Z. Balky, C. Li et al. · 0 citations
Open access Aug 2026

Chirped Speech (Cheech) Enables Rapid Assessment of Multi-Level Auditory Evoked Potentials During Speech-in-Noise Recognition

Findings show that Cheech-modified speech preserves intelligibility while yielding robust, multilevel neural recordings during sentence perception, offering a promising approach to examine hierarchical auditory processing under ecologically relevant speech-in-noise conditions.

May Chao, C. Holloway, L. Miller et al. · 0 citations
Open access Jul 2026

Brain2voice 2.0: High-performance voice synthesis brain-computer interface

Brain-computer interfaces (BCIs) offer a promising solution to speech loss due to neurological injury by decoding intended speech directly from brain activity. While recent BCIs have restored high-accuracy text-based communication, they fail to provide instantaneous voice output essential for the natural flow of conver...

M. Wairagkar, Aparna Srinivasan, N. Card et al. · 0 citations

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