Ignite Creation Date:
2024-05-06 @ 3:50 PM
Last Modification Date:
2024-10-26 @ 1:58 PM
Study NCT ID:
NCT04775810
Status:
RECRUITING
Last Update Posted:
2022-11-17
First Post:
2021-02-22
Brief Title:
Study of a Signal-processing Algorithm Aiming at Improving Speech-in-noise Intelligibility in Normal-hearing and Hearing-impaired Persons
Sponsor:
Archean Technologies
Organization:
Archean Technologies
Study Overview
Official Title:
Pilot Study of a Signal-processing Algorithm Aiming at Improving Speech-in-noise Intelligibility in Normal-hearing and Hearing-impaired Persons
Status:
RECRUITING
Status Verified Date:
2022-11
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
AUDIOCAP 1
Brief Summary:
Nearly half a billion people suffer from disabling hearing loss The most common form of hearing loss in adults is age-related hearing loss ARHL which causes a reduced ability to understand speech in noisy environments The ability of people with ARHL to communicate is therefore greatly impacted limiting their social interactions and thus their quality of life Yet the wear of hearing aids - which is the current standard rehabilitation treatment in such cases - does not lead to optimal satisfactory outcomes when it comes to understanding speech in noisy environments
The objective of this pilot study is to test a new signal-processing algorithm based on artificial intelligence that aims at enhancing the intelligibility of speech-in-noise signals The efficiency of the algorithm is compared to a standard denoising algorithm commonly used in hearing aids The primary outcome measure is the word-identification performance of the participants using the FrMatrix test Jansen et al 2012 Two secondary outcome measures are investigated listening effort self-assessed using a Likert scale and measured through response times and subjective preference assessed in a paired-comparison task
The study is conducted in 20 normal-hearing subjects and in 40 older age 55 years hearing-impaired subjects
The objective of this pilot study is to test a new signal-processing algorithm based on artificial intelligence that aims at enhancing the intelligibility of speech-in-noise signals The efficiency of the algorithm is compared to a standard denoising algorithm commonly used in hearing aids The primary outcome measure is the word-identification performance of the participants using the FrMatrix test Jansen et al 2012 Two secondary outcome measures are investigated listening effort self-assessed using a Likert scale and measured through response times and subjective preference assessed in a paired-comparison task
The study is conducted in 20 normal-hearing subjects and in 40 older age 55 years hearing-impaired subjects
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| 2020-A02253-36 | OTHER | ID-RCB | None |