The Impact of Hearing Aid User Speech on Environment Classification and Own Voice Listener Preferences
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| Title: | The Impact of Hearing Aid User Speech on Environment Classification and Own Voice Listener Preferences |
|---|---|
| Authors: | Budinsky, Robert Andrew, III |
| Committee Members: | Erol J. Ozmeral, Ph.D; Nathan Higgins, Ph.D; Victoria Sanchez, Au.D., Ph.D., CCC-A; David Eddins, Ph.D., CCC-A; Don Hayes, Ph.D |
| Summary: | Hearing aids (HA) have improved over the past few decades with advanced signal processing, such as environment classification and background noise reduction, but are still limited by challenges related to when the user is speaking. These challenges include the potential interference a HA user’s voice has on device environment classification and the potential influence a HA has on own voice (OV) sound quality. However, the effects of OV on HA environment classification and signal processing are not well established, nor are the desired HA program settings regarding OV listening preferences. In this study, a combination of electroacoustic and behavioral methods were used to investigate how a HA user’s OV impacts HA environment classification, in addition to how HA processing influence user perception of OV sound quality. The central hypotheses are 1) a hearing aid classifies the speech of a hearing aid user differently than that of a partner resulting in shifts in the amount of signal processing features (e.g. noise reduction) applied to the output of the device; 2) the preferred frequency-gain shaping of hearing aid amplification for speech will be different for a hearing aid user’s own voice compared to that of a partner. The first aim (Chapter 2) uses recently developed acoustic manikins capable of simulating speech acoustics to investigate the interaction between a HA user’s OV, background noise, and conversational partner speech, on HA environment classification. The second aim (Chapter 3) is an analysis of OV effects using audio, video, and HA classification data obtained from experimental sessions investigating human communication in a naturalistic conversational setting. The third and final aim (Chapter 4) investigates aided OV sound quality by having individuals with hearing loss rate the sound quality of simulated HA user OV recordings in quiet and background noise using a Multiple Stimulus with Hidden Reference and Anchor (MUSHRA) task. The results of these aims have important implications for HA design, testing, and the clinical application of HA as medical devices. |
| URL: | https://digitalcommons.usf.edu/etd/10600 |
| Database: | OpenDissertations |
| FullText | Text: Availability: 0 |
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| Header | DbId: ddu DbLabel: OpenDissertations An: ddu.oai.digitalcommons.usf.edu.etd.11887 AccessLevel: 6 PubType: Dissertation/ Thesis PubTypeId: dissertation PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Impact of Hearing Aid User Speech on Environment Classification and Own Voice Listener Preferences – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Budinsky%2C+Robert+Andrew%2C+III%22">Budinsky, Robert Andrew, III</searchLink> – Name: Author Label: Committee Members Group: Au Data: <searchLink fieldCode="CO" term="%22Erol+J%2E+Ozmeral%2C+Ph%2ED%22">Erol J. Ozmeral, Ph.D</searchLink>; <searchLink fieldCode="CO" term="%22Nathan+Higgins%2C+Ph%2ED%22">Nathan Higgins, Ph.D</searchLink>; <searchLink fieldCode="CO" term="%22Victoria+Sanchez%2C+Au%2ED%2E%2C+Ph%2ED%2E%2C+CCC-A%22">Victoria Sanchez, Au.D., Ph.D., CCC-A</searchLink>; <searchLink fieldCode="CO" term="%22David+Eddins%2C+Ph%2ED%2E%2C+CCC-A%22">David Eddins, Ph.D., CCC-A</searchLink>; <searchLink fieldCode="CO" term="%22Don+Hayes%2C+Ph%2ED%22">Don Hayes, Ph.D</searchLink> – Name: Abstract Label: Summary Group: Ab Data: Hearing aids (HA) have improved over the past few decades with advanced signal processing, such as environment classification and background noise reduction, but are still limited by challenges related to when the user is speaking. These challenges include the potential interference a HA user’s voice has on device environment classification and the potential influence a HA has on own voice (OV) sound quality. However, the effects of OV on HA environment classification and signal processing are not well established, nor are the desired HA program settings regarding OV listening preferences. In this study, a combination of electroacoustic and behavioral methods were used to investigate how a HA user’s OV impacts HA environment classification, in addition to how HA processing influence user perception of OV sound quality. The central hypotheses are 1) a hearing aid classifies the speech of a hearing aid user differently than that of a partner resulting in shifts in the amount of signal processing features (e.g. noise reduction) applied to the output of the device; 2) the preferred frequency-gain shaping of hearing aid amplification for speech will be different for a hearing aid user’s own voice compared to that of a partner. The first aim (Chapter 2) uses recently developed acoustic manikins capable of simulating speech acoustics to investigate the interaction between a HA user’s OV, background noise, and conversational partner speech, on HA environment classification. The second aim (Chapter 3) is an analysis of OV effects using audio, video, and HA classification data obtained from experimental sessions investigating human communication in a naturalistic conversational setting. The third and final aim (Chapter 4) investigates aided OV sound quality by having individuals with hearing loss rate the sound quality of simulated HA user OV recordings in quiet and background noise using a Multiple Stimulus with Hidden Reference and Anchor (MUSHRA) task. The results of these aims have important implications for HA design, testing, and the clinical application of HA as medical devices. – Name: URL Label: URL Group: URL Data: <link linkTarget="URL" linkTerm="https://digitalcommons.usf.edu/etd/10600" linkWindow="_blank">https://digitalcommons.usf.edu/etd/10600</link> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ddu&AN=ddu.oai.digitalcommons.usf.edu.etd.11887 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English Subjects: – SubjectFull: Environment Classification Type: general – SubjectFull: acoustic scene analysis Type: general – SubjectFull: Own Voice Type: general – SubjectFull: Acoustics, Dynamics, and Controls Type: general – SubjectFull: Biomedical Engineering and Bioengineering Type: general – SubjectFull: Speech Pathology and Audiology Type: general Titles: – TitleFull: The Impact of Hearing Aid User Speech on Environment Classification and Own Voice Listener Preferences Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Budinsky, Robert Andrew, III IsPartOfRelationships: – BibEntity: Dates: – D: 08 M: 11 Type: published Y: 2024 |
| ResultId | 1 |
