Towards Developing a Brain-computer Interface for Automatic Hearing Aid Fitting based on the Speech-evoked Frequency Following Response

Brian Heffernan, Christian Giguère, Hilmi R. Dajani

2017

Abstract

One of the problems related to the use of hearing aids (HAs) is the difficulty in obtaining a best fit by adjusting different settings, such as those related to the gain and compression in different frequency bands. In this work, we propose using the information extracted from the brain’s frequency following response (FFR) to speech sounds to automatically adjust the settings of HAs via a brain-computer interface. This approach will be used to tune HAs to maximize the separation between the responses to different vowels and levels, with the aim of improving perceptual discrimination and loudness control in HA users.

Paper Citation

in Harvard Style

Heffernan B., Dajani H. and Giguère C. (2017). Towards Developing a Brain-computer Interface for Automatic Hearing Aid Fitting based on the Speech-evoked Frequency Following Response.In NEUROTECHNIX 2017 - Extended Abstracts - Volume 1: NEUROTECHNIX, ISBN , pages 3-4

in Bibtex Style

@conference{neurotechnix17,
author={Brian Heffernan and Hilmi R. Dajani and Christian Giguère},
title={Towards Developing a Brain-computer Interface for Automatic Hearing Aid Fitting based on the Speech-evoked Frequency Following Response},
booktitle={NEUROTECHNIX 2017 - Extended Abstracts - Volume 1: NEUROTECHNIX,},
year={2017},
pages={3-4},
publisher={SciTePress},
organization={INSTICC},
doi={},
isbn={},
}

in EndNote Style

TY - CONF

JO - NEUROTECHNIX 2017 - Extended Abstracts - Volume 1: NEUROTECHNIX,
TI - Towards Developing a Brain-computer Interface for Automatic Hearing Aid Fitting based on the Speech-evoked Frequency Following Response
SN -
AU - Heffernan B.
AU - Dajani H.
AU - Giguère C.
PY - 2017
SP - 3
EP - 4
DO -