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Trends in Hearing|May 21, 2019
Perceptual Effects of Adjusting Hearing-Aid Gain by Means of a Machine-Learning Approach Based on Individual User PreferenceNiels Søgaard Jensen, Ole Hau, Jens Brehm Bagger Nielsen, et al.Trends in Hearing|September 26, 2018
The Pupil Dilation Response to Auditory Stimuli: Current State of KnowledgeAdriana A Zekveld, Thomas Koelewijn, Sophia E KramerTrends in Hearing|May 14, 2019
No Effect of Musical Training on Frequency Selectivity Estimated Using Three MethodsBrian C J Moore, Jie Wan, Ajanth Varathanathan, et al.Trends in Hearing|April 26, 2018
Objective Prediction of Hearing Aid Benefit Across Listener Groups Using Machine Learning: Speech Recognition Performance With Binaural Noise-Reduction AlgorithmsMarc R Schädler, Anna Warzybok, Birger KollmeierTrends in Hearing|June 8, 2018
Adapting Hearing Devices to the Individual Ear Acoustics: Database and Target Response Correction Functions for Various Device StylesFlorian Denk, Stephan M A Ernst, Stephan D Ewert, et al.Trends in Hearing|May 8, 2018
Effects of Cochlear Implantation on Binaural Hearing in Adults With Unilateral Hearing LossEmily Buss, Margaret T Dillon, Meredith A Rooth, et al.Trends in Hearing|September 30, 2021
Effectiveness of Computer-Based Auditory Training for Adult Cochlear Implant Users: A Randomized Crossover StudyMariana Reis, Catherine M McMahon, Dayse Távora-Vieira, et al.Trends in Hearing|October 5, 2021
The Role of Interaural Differences, Head Shadow, and Binaural Redundancy in Binaural Intelligibility Benefits Among School-Aged ChildrenZ Ellen Peng, Ruth Y LitovskyTrends in Hearing|October 18, 2019
Diagnosing and Preventing Hearing Loss in the Genomic AgeJohn H McDermott, Leslie P Molina-Ramírez, Iain A Bruce, et al.Pageof 73