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Real-time Artificial Intelligence-based Speech Enhancement Methods for Hearing Aid Improvement

NCT05985473 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 40

Last updated 2024-03-15

No results posted yet for this study

Summary

Individuals with Auditory Neuropathy Spectrum Disorders (ANSD) represent 1-10% of adults with hearing loss. These individuals have little or no benefit from current hearing aids because ANSD is a continuum of hearing impairments due to synaptic or neural dysfunction in the peripheral and central parts of the auditory pathways, which impairs temporal information processing without necessarily affecting auditory sensitivity. There is a need to find ad-hoc denoising methods, based on the expert knowledge of audiologists, to improve the noise comprehension performance of these patients. Implemented denoising methods, based on artificial intelligence, will also greatly benefit more standard hearing loss cases.

Conditions

  • Deafness Neurosensory

Interventions

OTHER

audiological measurements

audiological measurements

OTHER

Objective and subjective audiological measurements

Objective and subjective audiological measurements

OTHER

Evaluation of the denoising methods REFINED

Evaluation of the denoising methods REFINED

Sponsors & Collaborators

  • Institut Pasteur

    lead INDUSTRY

Principal Investigators

  • Paul Avan, MD · CEntre de Recherche et d'Innovation en Audiologie Humain

Study Design

Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-03-06
Primary Completion
2026-09-15
Completion
2026-09-15

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05985473 on ClinicalTrials.gov