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Enhanced pitch discrimination for cochlear implant users with a new haptic neuroprosthetic

Enhanced pitch discrimination for cochlear implant users with a new haptic neuroprosthetic
Enhanced pitch discrimination for cochlear implant users with a new haptic neuroprosthetic

The cochlear implant (CI) is the most widely used neuroprosthesis, recovering hearing for more than half a million severely-to-profoundly hearing-impaired people. However, CIs still have significant limitations, with users having severely impaired pitch perception. Pitch is critical to speech understanding (particularly in noise), to separating different sounds in complex acoustic environments, and to music enjoyment. In recent decades, researchers have attempted to overcome shortcomings in CIs by improving implant technology and surgical techniques, but with limited success. In the current study, we take a new approach of providing missing pitch information through haptic stimulation on the forearm, using our new mosaicOne_B device. The mosaicOne_B extracts pitch information in real-time and presents it via 12 motors that are arranged in ascending pitch along the forearm, with each motor representing a different pitch. In normal-hearing subjects listening to CI simulated audio, we showed that participants were able to discriminate pitch differences at a similar performance level to that achieved by normal-hearing listeners. Furthermore, the device was shown to be highly robust to background noise. This enhanced pitch discrimination has the potential to significantly improve music perception, speech recognition, and speech prosody perception in CI users.

2045-2322
1-10
Fletcher, Mark
ac11588a-fafe-4dbb-8b3c-80a6ff030546
Thini, Nour
159a0a68-83f4-4fa0-abe1-693b730f98cc
Perry, Samuel W.
f2686c41-9b38-426e-a9b5-10b717e9f8dd
Fletcher, Mark
ac11588a-fafe-4dbb-8b3c-80a6ff030546
Thini, Nour
159a0a68-83f4-4fa0-abe1-693b730f98cc
Perry, Samuel W.
f2686c41-9b38-426e-a9b5-10b717e9f8dd

Fletcher, Mark, Thini, Nour and Perry, Samuel W. (2020) Enhanced pitch discrimination for cochlear implant users with a new haptic neuroprosthetic. Scientific Reports, 10 (1), 1-10, [10354]. (doi:10.1038/s41598-020-67140-0).

Record type: Article

Abstract

The cochlear implant (CI) is the most widely used neuroprosthesis, recovering hearing for more than half a million severely-to-profoundly hearing-impaired people. However, CIs still have significant limitations, with users having severely impaired pitch perception. Pitch is critical to speech understanding (particularly in noise), to separating different sounds in complex acoustic environments, and to music enjoyment. In recent decades, researchers have attempted to overcome shortcomings in CIs by improving implant technology and surgical techniques, but with limited success. In the current study, we take a new approach of providing missing pitch information through haptic stimulation on the forearm, using our new mosaicOne_B device. The mosaicOne_B extracts pitch information in real-time and presents it via 12 motors that are arranged in ascending pitch along the forearm, with each motor representing a different pitch. In normal-hearing subjects listening to CI simulated audio, we showed that participants were able to discriminate pitch differences at a similar performance level to that achieved by normal-hearing listeners. Furthermore, the device was shown to be highly robust to background noise. This enhanced pitch discrimination has the potential to significantly improve music perception, speech recognition, and speech prosody perception in CI users.

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Fletcher et al 2020 - Accepted Manuscript
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s41598-020-67140-0 - Version of Record
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More information

Accepted/In Press date: 3 June 2020
e-pub ahead of print date: 25 June 2020
Published date: 25 June 2020

Identifiers

Local EPrints ID: 441275
URI: http://eprints.soton.ac.uk/id/eprint/441275
ISSN: 2045-2322
PURE UUID: 0bc58fc5-8372-4567-ac76-ae0af1f337a8
ORCID for Samuel W. Perry: ORCID iD orcid.org/0000-0001-5925-6332

Catalogue record

Date deposited: 08 Jun 2020 16:31
Last modified: 17 Mar 2024 05:37

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Contributors

Author: Mark Fletcher
Author: Nour Thini
Author: Samuel W. Perry ORCID iD

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