New Algorithms to Signal Processing for Speech Enhancement in Adult Cochlear Implant Recipients.

NCT06100393 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 150

Last updated 2026-05-08

No results posted yet for this study

Summary

The purpose of this clinical investigation is to develop pre-processing strategies to enhance speech and reduce noise for CI listeners. The Master Umbrella Clinical Investigation will be comprised of several sub-investigations, which will aim to optimize speech enhancement algorithms, to improve real-world functionality, and to incorporate them efficiently into CI speech processors.

Conditions

Interventions

DEVICE

Investigational Pre-Processing Algorithm (Sub A)

The algorithms act upon the digital audio signal received by the microphones and other sensors to enhance speech and attenuate noise prior to encoding the signal for delivery to a cochlear implant via the specified system.

DEVICE

Cochlear Limited standard-of-care pre-processing algorithms

Automatic Gain Control, SNR-NR, Forward Focus

DEVICE

Investigational Pre-Processing Algorithm (Sub B)

Spatial Automation profile

DEVICE

Investigational pre-processing algorithm (Sub D)

Microphone miscalibration profile with applied correction method

DEVICE

Cochlear Limited standard-of-care pre-processing algorithms

Standard microphone calibration profile

DEVICE

Investigational Pre-Processing Algorithm (Sub C)

Spatial Automation profile and DNR algorithm

Sponsors & Collaborators

  • Cochlear

    lead INDUSTRY

Study Design

Allocation
RANDOMIZED
Purpose
BASIC_SCIENCE
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-02-22
Primary Completion
2026-10-31
Completion
2026-10-31

Countries

  • Australia

Study Locations

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Entities

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 NCT06100393 on ClinicalTrials.gov