Noise-Robust Speech Source Localization and Tracking Using Microphone Arrays for Smartphone-Assisted Hearing Aid Devices

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dc.contributor.ORCID0000-0003-4409-3088 (Ganguly, A)
dc.contributor.advisorPanahi, Issa M. S.
dc.contributor.authorGanguly, Anshuman
dc.date.accessioned2018-06-19T11:52:29Z
dc.date.available2018-06-19T11:52:29Z
dc.date.created2018-05
dc.date.issued2018-05
dc.date.submittedMay 2018
dc.date.updated2018-06-19T11:52:29Z
dc.description.abstractSpeech Source Localization (SSL) (or Direction of Arrival estimation) is a powerful pre-processing tool that helps identify the direction of the talker of interest in a noisy environment using multiple fixed microphones (known as a Microphone Array). This information is very helpful to the speech-processing pipeline and can be utilized to improve the performance of the overall system. With recent advancements, smartphones now possess the requisite hardware and computational power to perform real-time SSL for different applications. In this work, we propose application-specific SSL algorithms for three types of microphone arrays and show their effectiveness for smartphone implementation under realistic background noise conditions. We evaluate our proposed approaches in several realistic noisy conditions and present object evaluations to demonstrate the effectiveness of the proposed methods. We also propose the real-time implementation of some of our methods on the latest smartphones and smartphone-assisted devices.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10735.1/5857
dc.language.isoen
dc.rightsCopyright ©2018 is held by the author. Digital access to this material is made possible by the Eugene McDermott Library. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
dc.subjectHearing aids—Design and construction
dc.subjectSmartphones
dc.subjectMicrophone arrays
dc.subjectSpeech processing systems
dc.subjectNatural language processing (Computer science)
dc.subjectNoise
dc.titleNoise-Robust Speech Source Localization and Tracking Using Microphone Arrays for Smartphone-Assisted Hearing Aid Devices
dc.typeDissertation
dc.type.materialtext
thesis.degree.departmentElectrical Engineering
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.levelDoctoral
thesis.degree.namePHD

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