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Hearing Research|June 24, 2022
Predicting speech intelligibility in hearing-impaired listeners using a physiologically inspired auditory modelJohannes Zaar, Laurel H CarneyActa Acustica United with Acustica : the Journal of the European Acoustics Association (EEIG)|December 4, 2020
Predicting Speech Intelligibility Based on Across-Frequency Contrast in Simulated Auditory-Nerve FluctuationsChristoph Scheidiger, Laurel H Carney, Torsten Dau, et al.Journal of the Association for Research in Otolaryngology : JARO|May 11, 2018
Supra-Threshold Hearing and Fluctuation Profiles: Implications for Sensorineural and Hidden Hearing LossLaurel H CarneyHearing Research|February 4, 2024
Neural Fluctuation Contrast as a Code for Complex Sounds: The Role and Control of Peripheral NonlinearitiesLaurel H CarneyJournal of the Association for Research in Otolaryngology : JARO|October 1, 2014
Tone-in-noise detection using envelope cues: comparison of signal-processing-based and physiological modelsJunwen Mao, Laurel H CarneyThe Journal of the Acoustical Society of America|April 6, 2005
Encoding of vowel-like sounds in the auditory nerve: model predictions of discrimination performanceQing Tan, Laurel H CarneyThe Journal of the Acoustical Society of America|September 20, 2014
Binaural detection with narrowband and wideband reproducible noise maskers. IV. Models using interaural time, level, and envelope differencesJunwen Mao, Laurel H CarneyJournal of the Association for Research in Otolaryngology : JARO|June 7, 2008
Statistical analyses of temporal information in auditory brainstem responses to tones in noise: correlation index and spike-distance metricYan Gai, Laurel H CarneyThe Journal of the Acoustical Society of America|November 1, 2003
A phenomenological model for the responses of auditory-nerve fibers. II. Nonlinear tuning with a frequency glideQing Tan, Laurel H CarneyNeural Computation|October 11, 2005
Response properties of an integrate-and-fire model that receives subthreshold inputsXuedong Zhang, Laurel H CarneyPageof 13