Investigation of Improved Masking Noise for the Speech Privacy

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dc.contributor.advisorPanahi, Issa M. S.
dc.creatorCho, Allen
dc.creator.orcid0000-0002-0307-3331
dc.date.accessioned2017-03-31T19:55:16Z
dc.date.available2017-03-31T19:55:16Z
dc.date.created2016-12
dc.date.issued2016-12
dc.date.submittedDecember 2016
dc.date.updated2017-03-31T19:55:16Z
dc.description.abstractMany sound masking products for the purpose of achieving speech privacy have emerged on the market in recent years. Over the time, quality of the masking noise has been improved a lot and still is studied for a better method. This thesis introduces a new way of generating masking noise which outperforms the commonly used methods. Using Adaptive Linear Predictive Coding (LPC) we can derive the model for various target sound and create a new masking signal which has exactly the same spectral envelope of the target sound and different phase. Two important aspects in evaluating the performance quality of the masking noise are masking capability and pleasantness. By testing these criteria in objective and subjective ways, we show superior performance of the proposed adaptive method in comparison with several existing techniques.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/107351/5352
dc.language.isoen
dc.rightsCopyright ©2016 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.subjectAuditory masking
dc.subjectPsychoacoustics
dc.subjectPrivacy
dc.subjectSpeech processing systems
dc.titleInvestigation of Improved Masking Noise for the Speech Privacy
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentComputer Science
thesis.degree.grantorUniversity of Texas at Dallas
thesis.degree.levelMasters
thesis.degree.nameMSCS

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