{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/106227"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/106227","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Microphone array processing for augmented listening","abstract":"Modern augmented listening technologies, such as hearing aids, smart headphones, and audio augmented reality platforms, perform poorly in noisy environments with many competing sound sources. This work explores the benefits of large microphone arrays, including novel wearable devices and distributed sensor networks, for augmented listening systems. Perceptually transparent space-time remixing filters can apply separate processing to each sound source to modify the auditory scene perceived by a listener. The design parameters and performance tradeoffs of such filters are described, with particular emphasis on the ways in which augmented listening applications differ from machine listening and telecommunication applications. Theoretical tools are developed for interaural cue preservation, delay-constrained array processing, and dynamic range compression of multiple sources. Several implementation issues are considered, including acoustic channel estimation, the design of wearable microphone arrays, the acoustic effects of the body, and models and algorithms for deformable microphone arrays. Finally, the performance of the listening system is improved by cooperative processing among many distributed devices. The proposed system would dramatically improve the performance of listening devices in noisy environments and enable new listening applications that are impossible with current technology.","abstract_html":"Modern augmented listening technologies, such as hearing aids, smart headphones, and audio augmented reality platforms, perform poorly in noisy environments with many competing sound sources. This work explores the benefits of large microphone arrays, including novel wearable devices and distributed sensor networks, for augmented listening systems. Perceptually transparent space-time remixing filters can apply separate processing to each sound source to modify the auditory scene perceived by a listener. The design parameters and performance tradeoffs of such filters are described, with particular emphasis on the ways in which augmented listening applications differ from machine listening and telecommunication applications. Theoretical tools are developed for interaural cue preservation, delay-constrained array processing, and dynamic range compression of multiple sources. Several implementation issues are considered, including acoustic channel estimation, the design of wearable microphone arrays, the acoustic effects of the body, and models and algorithms for deformable microphone arrays. Finally, the performance of the listening system is improved by cooperative processing among many distributed devices. The proposed system would dramatically improve the performance of listening devices in noisy environments and enable new listening applications that are impossible with current technology.","abstract_has_math":false,"creators":["Corey, Ryan Michael"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Singer, Andrew C.","Allen, Jont B.","Smaragdis, Paris","Dokmanić, Ivan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-03-02T21:58:19Z","date_published":"2020-03-02T21:58:19Z","updated_at":"2026-07-22T22:24:45Z","subjects":["Microphone arrays","augmented listening","hearing aids","audio signal processing","array signal processing","audio augmented reality"],"languages":["en"],"rights":["Copyright 2019 Ryan Michael Corey"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/106227","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Singer, Andrew C.","Allen, Jont B.","Smaragdis, Paris","Dokmanić, Ivan"]},{"key":"dc:creator","label":"Author","values":["Corey, Ryan Michael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2020-03-02T21:58:19Z","2019-11-27","2019-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Microphone arrays","augmented listening","hearing aids","audio signal processing","array signal processing","audio augmented reality"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Ryan Michael Corey"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/106227"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Modern augmented listening technologies, such as hearing aids, smart headphones, and audio augmented reality platforms, perform poorly in noisy environments with many competing sound sources. 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Finally, the performance of the listening system is improved by cooperative processing among many distributed devices. The proposed system would dramatically improve the performance of listening devices in noisy environments and enable new listening applications that are impossible with current technology.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2020-02-28 without embargo terms","The student, Ryan Corey, accepted the attached license on 2019-11-27 at 11:19.","The student, Ryan Corey, submitted this Dissertation for approval on 2019-11-27 at 11:29.","This Dissertation was approved for publication on 2019-11-27 at 14:39.","DSpace SAF Submission Ingestion Package generated from Vireo submission #14629 on 2020-02-28 at 17:14:34","Made available in DSpace on 2020-03-02T21:58:19Z (GMT). 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