Jan 2026· Trends in Hearing· Vol 30· 0 citations· 90 references
Medicine
TL;DR
The results are generally supported by acoustic metrics, indicating more effective compression and higher output SBRs, especially at lower input SBRs, and reduced across-source modulation correlations with independent DRC.
Abstract
The purpose of this study was to compare the effects of source-specific (independent) and conventional dynamic range compression (DRC) on sound quality ratings among listeners with hearing loss when ground-truth signals are available to the compressor. Twenty listeners with mild to moderately severe sensorineural hearing loss rated the sound quality on different subscales for two types of signal mixtures: speech in music (Overall Sound Quality, Speech Clarity, and Music Pleasantness) and speech in noise (Overall Sound Quality, Speech Clarity, and Noisiness) at three speech-to-background ratios (SBR: -10, 0, +10 dB). Speech in music was a 10-second-long spontaneous speech excerpt with a duration-matched classical music excerpt. Speech in noise had the same speech signal mixed with speech-shaped noise. Conventional DRC applied a 50-ms release time to the mixed signals, whereas independent DRC applied a 50-ms release time for speech and a 2000-ms release time for music or noise before mixing. The control conditions included linear amplification applied to the signals before and after mixing. Independent DRC resulted in higher overall sound quality, music pleasantness, and lower noisiness ratings than conventional DRC, regardless of SBR. Independent DRC resulted in higher speech clarity ratings than conventional DRC at lower SBRs. The results are generally supported by acoustic metrics, indicating more effective compression and higher output SBRs, especially at lower input SBRs, and reduced across-source modulation correlations with independent DRC. These findings extend the literature on the advantages of independent compression of sound sources by demonstrating sound quality benefits across multiple sub-scales for listeners with hearing loss across music and noise backgrounds.
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.· bioRxiv· 0 citations
Speech understanding in noise remains challenging for hearing-aid users, particularly in the presence of competing speakers. Conventional hearing aids typically perform speech enhancement (SE) and hearing-loss compensation in separate stages, which may cause enhancement errors and signal distortions to carry over to th...
Background:
Over-the-counter (OTC) hearing aids are designed to improve speech understanding for adults with mild-to-moderate hearing loss. However, challenging listening environments often require substantial effort to process speech, potentially limiting communication and contributing to stress or fatigue. Despite...
G. Szatkowski, Pamela E. Souza· Journal of american academy...· 0 citations
The relative perceptual performance of alternative deep learning based speech processing architectures remains uncertain under complex acoustic conditions. This study compared speech intelligibility, in listeners with normal hearing and with mild-to-moderate hearing loss, obtained with two processing models: a speech...
R. Viveros-Muñoz, Carla E. Contreras-Saavedra, Sebastián Guajardo-Herrera et al.· Scientific Reports· 0 citations
Vocoded speech is widely used to simulate aspects of cochlear implant listening, and modeling vocoded intelligibility in normal-hearing listeners can provide insight into auditory processing under electric hearing. Sentence recognition was measured using three masker types (speech-shaped noise, tone complex, and noise-...
Cathrina Veigel, H. Relaño-Iborra, A. Oxenham et al.· Journal of the Acoustical So...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.