Selective Transparent Headphone

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dc.contributor.authorWang, Jack
dc.contributor.authorYao, Tianyi
dc.contributor.authorXia, Stephen
dc.date.accessioned2022-05-03T14:35:41Z
dc.date.available2022-05-03T14:35:41Z
dc.date.issued2014-12-18
dc.description.abstractDescribes the theory and process of creating a selective transparent headphone, which filters in important sound signals from the environment to the user while suppressing all other signals. The article focuses on a small step of the process: isolating human speech.
dc.description.noteThis work was created using the Connexions authoring platform. This platform will be retired as of the end of 2021.  This work has been migrated to PDF format for continuous access to the educational content, however any embedded links within the text to the legacy platform may no longer be accessible.
dc.digitization.specificationsContent was converted from legacy website (HTML) to accessible (tagged and OCRd) PDF format.
dc.format.extent43 pp
dc.identifier.citationWang, Jack, Yao, Tianyi and Xia, Stephen. "Selective Transparent Headphone." (2014) Rice University: <a href="https://hdl.handle.net/1911/112376">https://hdl.handle.net/1911/112376</a>.
dc.identifier.digitalcol11733-FINAL
dc.identifier.urihttps://hdl.handle.net/1911/112376
dc.language.isoeng
dc.publisherRice University
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectMathematics and Statistics
dc.subjectScience and Technology
dc.subject.keywordANN
dc.subject.keywordArtificial Neural Network
dc.subject.keywordBlind Source Separation
dc.subject.keywordBSS
dc.subject.keywordICA
dc.subject.keywordIndependent Component Analysis
dc.subject.keywordMachine Learning
dc.subject.keywordNeural Network
dc.subject.keywordSignal Processing
dc.titleSelective Transparent Headphone
dc.type.dcmiText
dc.type.genreInstructional and educational works
dcterms.accessRightsfreely accessible, openly licensed text
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