Showing results (51-60 of 85) with videos related to

Sort By:
Pageof 9
Journal of Speech, Language, and Hearing Research : JSLHR|November 21, 2018
Effect of Dual-Carrier Processing on the Intelligibility of Concurrent Vocoded SentencesFrédéric Apoux, Brittney L Carter, Eric W Healy
Clinical Linguistics & Phonetics|March 17, 2007
Sentence comprehension and general working memoryDana C Moser, Julius Fridriksson, Eric W Healy
The Journal of the Acoustical Society of America|April 29, 2006
Sensitivity to isolated and concurrent intensity and fundamental frequency increments by cochlear implant users under natural listening conditionsCheryl F Rogers, Eric W Healy, Allen A Montgomery
The Journal of the Acoustical Society of America|October 31, 2016
Measuring time-frequency importance functions of speech with bubble noiseMichael I Mandel, Sarah E Yoho, Eric W Healy
The Journal of the Acoustical Society of America|July 9, 2021
An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listenersEric W Healy, Ke Tan, Eric M Johnson, et al.
The Journal of the Acoustical Society of America|December 2, 2021
A causal and talker-independent speaker separation/dereverberation deep learning algorithm: Cost associated with conversion to real-time capable operationEric W Healy, Hassan Taherian, Eric M Johnson, et al.
Preventive Medicine|August 1, 2006
Comorbidity between and risk factors for severe hearing and memory impairment in older AmericansYanfeng Li, Eric W Healy, J Wanzer Drane, et al.
The Journal of the Acoustical Society of America|May 10, 2019
A deep learning algorithm to increase intelligibility for hearing-impaired listeners in the presence of a competing talker and reverberationEric W Healy, Masood Delfarah, Eric M Johnson, et al.
Hearing Research|June 29, 2007
Effect of spectral smearing on the perceptual segregation of vowel sequencesEtienne Gaudrain, Nicolas Grimault, Eric W Healy, et al.
The Journal of the Acoustical Society of America|May 3, 2023
Progress made in the efficacy and viability of deep-learning-based noise reductionEric W Healy, Eric M Johnson, Ashutosh Pandey, et al.
Pageof 9