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Found 6 papers, 1 papers with code
The future of hearing aid technology
Examples of current research show the potential of machine-learning based algorithms and multi-modal signal processing for improving speech processing and perception, of using virtual reality for improving hearing device fitting and of mobile health technology for improving hearing-health services.
Vehicle Noise: Comparison of Loudness Ratings in the Field and the Laboratory
Design: Participants rated the loudness in the field and in the laboratory of 36 driving actions done by four different vehicles.
The Concurrent OLSA test: A method for speech recognition in multi-talker situations at fixed SNR
The alternation of the talkers is implemented with an adjustable overlap time that causes an overlap between the call sign "Kerstin" and the target words to be repeated.
Speech Recognition
Medical Physics
Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA)
open Master Hearing Aid (openMHA) was developed and provided to the hearing aid research community as an open-source software platform with the aim to support sustainable and reproducible research towards improvement and new types of assistive hearing systems not limited by proprietary software.
Interaction of hearing aids with self-motion and the influence of hearing impairment
A strong effect of hearing impairment on self-motion was found, which led to an overall increase in estimated SNR of 0. 8 dB for the HI participants compared to the NH participants, and differences in estimated SNR improvement of the ADM.
Medical Physics
Development and Evaluation of Video Recordings for the OLSA Matrix Sentence Test
One of the established multi-lingual methods for testing speech intelligibility is the matrix sentence test (MST).
