An Automated Digits-In-Noise Hearing Test Using Automatic Speech Recognition and Text-To-Speech: A Proof-of-Concept Study

The study shows that Digit-in-Noise tests work reasonably well when using Automatic Speech Recognition and Text-to-Speech instead of a user interface and pre-recorded stimuli.

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Categorization of Environmental Sounds Based on Pitch-Spectral Correlation and Preliminary Findings in Clinical Population

The study categorizes environmental sounds based on frequency and explores the open-set perceptual findings in individuals with normal hearing, sensorineural hearing loss, and auditory neuropathy spectrum disorder in an Indian context.

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AUDITO: A Web-based Listening Test System for Auditory Research with Cochlear Implant Recipients

A web-based test system has been developed and validated to facilitate data collection and collaboration for cochlear implant research.

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Towards a detection and correction algorithm for expanding applicable time-range of EMAs for challenging situations

The development of a detection and correction algorithm that better aligns the objective sound environment with the Ecological Momentary Assessment (EMA) being completed.

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The Impact of Ambient Noise on the Reliability of Home-Based Remote Audiometry

The Jacoti Hearing Center application utilizes continuous noise monitoring and adaptive test control to deliver reliable audiometric results for hearing assessments in non-ideal acoustic conditions, demonstrating its potential for remote home-based hearing assessment.

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Improving the classification of noise haters and distortion haters with mixture latent state-trait autoregressive modelling

We show that listening preferences can be measured with sufficient stability outside the laboratory, but that these preferences are not fully stable over time, so that classification of individuals for more personalised hearing aid fitting needs to take into account both trait stability and day-to-day variability in listening preferences.

Continue ReadingImproving the classification of noise haters and distortion haters with mixture latent state-trait autoregressive modelling