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Claims evidence is required for a new Wind Noise Canceller (WNC) algorithm.
Wind noise is not sound in the classic sense, as it does not correspond to pressure waves moving through the air. However, because the microphone membranes are deflected by the wind noise, the microphones translates them into a sound signal. Since the pressure fluctuations are small in size, this wind noise signal is uncorrelated between the two HI microphones (correlation decreases with increasing microphone distance), creating bothersome sounds at low and very low frequencies. Historically, wind noise cancellers have been applied to make wind noise less bothersome. However, target signal (i.e. speech) sound fidelity can become compromised as a biproduct. Therefore, an updated wind noise canceller has been proposed to improve wind noise attenuation and target signal fidelity compared to the previous iteration. Informal exploratory testing by normal hearing Sonova employees have identified the new wind noise canceller iteration to improve sound quality ratings with some dependencies on (1) wind speed, (2) wind angle and (3) target signal. Therefore, this study will aim to produce sound quality data showing a benefit for the new wind noise canceller compared to the older version for the purpose of claim substantiation.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Participant group | Experimental | Participants will listen to recorded scenes of target signals (speech, environmental sounds) in a wind tunnel, in which wind speed and incidence angle will be varied, recorded using the old and new versions of the wind noise canceller. Condition order is randomized between participants and masked from participants and experimenters. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| New wind noise canceller | Device | Updated wind noise canceller intended to improve wind noise attenuation and target signal fidelity compared to its predecessor. |
|
| Measure | Description | Time Frame |
|---|---|---|
| Overall preference sound quality attribute | Participants will complete an A-B paired-comparison listening task to assess subjective preference for overall preference between two hearing aid conditions. During testing, participants will listen to short audio recordings that vary in target signal, wind speed, and wind incidence angle. For each trial, participants will indicate which of the two recordings (A or B) is preferred overall. The outcome measure will be the proportion of "A preferred" versus "B preferred" responses aggregated across all trials and participants. Binary preference data will be analyzed using inferential statistics. | During a single 2-hour onsite study session |
| Measure | Description | Time Frame |
|---|---|---|
| Speech clarity sound quality attribute | Participants will complete an A-B paired-comparison listening task to assess subjective preference for speech clarity between two hearing aid conditions. During testing, participants will listen to short audio recordings that vary in target signal, wind speed, and wind incidence angle. For each trial, participants will indicate which of the two recordings (A or B) is preferred in terms of speech clarity. The outcome measure will be the proportion of "A preferred" versus "B preferred" responses aggregated across all trials and participants. Binary preference data will be analyzed using inferential statistics. |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jonathan M Vaisberg, PhD | Contact | 905-745-6785 | jonathan.vaisberg@sonova.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Sonova Canada Inc. | Kitchener | Ontario | N2E 1Y6 | Canada |
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| ID | Term |
|---|---|
| D034381 | Hearing Loss |
| ID | Term |
|---|---|
| D006311 | Hearing Disorders |
| D004427 | Ear Diseases |
| D010038 | Otorhinolaryngologic Diseases |
| D012678 | Sensation Disorders |
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| Old wind noise canceller | Device | Older version of the wind noise canceller |
|
| During a single 2-hour onsite study session |
| Listening comfort sound quality attribute | Participants will complete an A-B paired-comparison listening task to assess subjective preference for listening comfort between two hearing aid conditions. During testing, participants will listen to short audio recordings that vary in target signal, wind speed, and wind incidence angle. For each trial, participants will indicate which of the two recordings (A or B) is preferred in terms of listening comfort. The outcome measure will be the proportion of "A preferred" versus "B preferred" responses aggregated across all trials and participants. Binary preference data will be analyzed using inferential statistics. | During a single 2-hour onsite study session |
| Listening effort sound quality attribute | Participants will complete an A-B paired-comparison listening task to assess subjective preference for listening effort between two hearing aid conditions. During testing, participants will listen to short audio recordings that vary in target signal, wind speed, and wind incidence angle. For each trial, participants will indicate which of the two recordings (A or B) is preferred in terms of listening effort. The outcome measure will be the proportion of "A preferred" versus "B preferred" responses aggregated across all trials and participants. Binary preference data will be analyzed using inferential statistics. | During a single 2-hour onsite study session |
| Naturalness sound quality attribute | Participants will complete an A-B paired-comparison listening task to assess subjective preference for naturalness between two hearing aid conditions. During testing, participants will listen to short audio recordings that vary in target signal, wind speed, and wind incidence angle. For each trial, participants will indicate which of the two recordings (A or B) is preferred in terms of naturalness. The outcome measure will be the proportion of "A preferred" versus "B preferred" responses aggregated across all trials and participants. Binary preference data will be analyzed using inferential statistics. | During a single 2-hour onsite study session |
| D009461 |
| Neurologic Manifestations |
| D009422 | Nervous System Diseases |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |