Laurel Carney

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Professor

University of Rochester

United States

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Laurel Carney is a Professor at the University of Rochester, USA. Her research focuses on auditory processing, with recent publications addressing topics such as chirp sensitivity in the inferior colliculus and deep neural networks for hearing loss compensation. She is dedicated to understanding neural computations within the human auditory pathway and exploring how outer hair cells influence cochlear fluids.

Recent Grants

Grant: Close

Speech Enhancement Based on Auditory Coding of Voiced Signals

Open Date: 2014-12-08

Close Date: 2015-11-30

Grant: Close

Developing and Testing Models of the Auditory System with and without Hearing Loss

Open Date: 2010-04-01

Close Date: 2020-11-30

Grant: Close

Physiologically-Based Signal Processing Schemes

Open Date: 2003-04-01

Close Date: 2006-03-31

Grant: Close

Auditory Processing: Pulling Signals Out of Noise

Open Date: 2000-03-01

Close Date: 2003-02-28

Grant: Close

Auditory Processing: Pulling Signals out of Noise

Open Date: 1996-07-01

Close Date: 1999-06-30

Articles (16)

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2025

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2021

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2021

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2021

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2020

Collaborators (5)

Duck O. Kim

Professor; Emeritus Professor

University of Connecticut Health Center

UNITED STATES

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Ian C. Bruce

CANADA

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Jong-Hoon Nam

Professor

University of Rochester

UNITED STATES

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Léo Varnet

FRANCE

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Sarah Verhulst

Full Professor

Ghent University

BELGIUM

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Laurel Carney

Research Interests

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About

Recent Grants

Articles (16)

Outer hair cells stir cochlear fluids

Outer hair cells stir cochlear fluids

Chirp sensitivity and vowel coding in the inferior colliculus

Mechanisms of Tone-in-Noise Encoding in the Inferior Colliculus

Hearing-Loss Compensation Using Deep Neural Networks: A Framework and Results From a Listening Test

Neural Fluctuation Contrast as a Code for Complex Sounds: The Role and Control of Peripheral Nonlinearities

Effects of sensorineural hearing loss on formant-frequency discrimination: Measurements and models

Incorporating models of subcortical processing improves the ability to predict EEG responses to natural speech

Dissecting neural computations in the human auditory pathway using deep neural networks for speech

Sensitivity to direction and velocity of fast frequency chirps in the inferior colliculus of awake rabbit

Neural processing and perception of Schroeder‐phase harmonic tone complexes in the gerbil: Relating single‐unit neurophysiology to behavior

A comparative study of eight human auditory models of monaural processing

Responses to diotic tone-in-noise stimuli in the inferior colliculus: stimulus envelope and neural fluctuation cues

Midbrain-Level Neural Correlates of Behavioral Tone-in-Noise Detection: Dependence on Energy and Envelope Cues

Speeding up machine hearing

Amplitude modulation transfer functions reveal opposing populations within both the inferior colliculus and medial geniculate body

Collaborators (5)

Duck O. Kim

Ian C. Bruce

Jong-Hoon Nam

Léo Varnet

Sarah Verhulst

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