Clinical trial NCT05599165: Speech Perception in Bimodal Hearing
Official title: Speech Perception Enhancement Using Novel Signal Processing in Bimodal Hearing
Study type: INTERVENTIONAL
Overall status: RECRUITING
Phase: NA
Conditions: Hearing Loss, Sensorineural
Lead sponsor: Baylor University
Sponsor class: OTHER
Collaborators: name: Baylor Scott and White Health
First posted: 2022-10-31
Enrollment: 40
Sex: ALL
Minimum age (years): 18
Maximum age (years): 74
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Allocation: NA
Intervention model: SINGLE_GROUP
Intervention model description: A single group of bimodal cochlear implant users will be tested with three different signal processing for consonant enhancement in noise.
Primary purpose: BASIC_SCIENCE

Brief summary: The protocol has two aims; Aim 1 involves two experiments and Aim 2 involves three experiments. Under Aim 1, the investigator will identify that the frequency and time ranges of consonants produce consonant enhancement (i.e., "target frequency range" and "target time range", respectively), and that the frequency and time ranges of consonants cause consonant confusions (i.e., "conflicting frequency range" and "conflicting time range", respectively). Aim 2 tests the effects of the frequency and time ranges, identified through Aim 1 on consonant recognition with each of the four signal processing conditions: no signal processing (i.e., control condition), the target frequency and time ranges intensified alone, the conflicting frequency and time ranges suppressed alone, and both target range intensification and conflicting range suppression.

Detailed description: Speech perception for those who use cochlear implants (CIs) in combination with hearing aids (HAs) in opposite ears (i.e., bimodal hearing) varies greatly. This variability depends on the users' ability to process frequency and time information critical for speech perception. By identifying and enhancing this acoustic information, speech perception will significantly improve. In this AREA project, the investigators aim to establish and verify a tailored identification scheme for the spectral and temporal cues responsible for consonant recognition. The recent bimodal study conducted in the investigator's research laboratory shows that some frequency ranges and time segments of consonants are critical for consonant enhancement (called "target frequency or time ranges") while other frequency and time ranges cause consonant confusions (called "conflicting frequency or time ranges"). An Articulation Index-Gram (AI-Gram) signal processing can add and suppress intensity on these target and conflicting ranges. In Aim 1, the investigators will determine the effect of the dead regions on consonant recognition. Target and conflicting ranges will then be identified on an individual subject basis for each consonant in the HA alone, CI alone, and CI+HA in quiet. The target frequency range will be determined by finding the frequency regions creating dramatic consonant enhancement, while the conflicting frequency ranges will be determined by finding the frequency regions creating consonant confusion. The target time ranges will be determined by finding the segment of the consonants responsible for dramatic consonant improvement while systematically truncating the consonant. The target time range will be used as the conflicting time ranges because the conflicting frequency ranges would be the most detrimental factor affecting the target frequency ranges if they coincide in time. In Aim 2, consonant recognition will be measured in quiet and noise under the three AI-Gram processing conditions: 1) target ranges alone with +6 dB gain; 2) conflicting ranges alone with -6 dB suppression; and 3) both intensified target and suppressed conflicting ranges. For each AI-Gram processing condition, consonant recognition will be measured in the matched listening conditions (e.g., the target or conflicting ranges identified in the HA alone will be presented in the HA alone listening condition). To determine how the unilateral detection ability affects bimodal benefit, the consonants processed on the target or conflicting ranges identified in the HA alone and CI alone will each be presented to the CI+HA listening condition. This proposed work will identify acoustic cues that contribute to bimodal benefit and will reveal how these cues are integrated or interfered with across modalities. Defining the relative impact of the target and conflicting ranges on the AI-Gram-sensitive consonants in the HA alone, the CI alone, and the CI+HA together will help determine the upper and lower cutoff frequencies of a HA and a CI and fine-tune these cutoff frequencies. This data is much needed for the long-term goal: developing a tailored bimodal fitting procedure.

Eligibility criteria: Inclusion Criteria:

The proposed work requires the following qualifications to be met:

* be age from 18-74 years old,
* be native speakers of American English,
* be post-lingually deafened in both ears,
* be healthy enough to manipulate a computer mouse and read information on a computer monitor, and
* have at least 1-year of bimodal use prior to initiation of study participation to account for continuous improvement.

Primary outcomes:
measure: Bimodal benefit in percent correct scores for consonant perception with three signal processing conditions
timeFrame: 24 weeks
Secondary outcomes:
Other outcomes:
Locations:
city: Waco
country: United States
facility: Baylor University
state: Texas
Study officials:
affiliation: Baylor University
name: Yang-Soo Yoon, PhD
role: PRINCIPAL_INVESTIGATOR
References: