Robust Classification of Highly-Specific Emotion in Human Speech

dc.contributor.authorForseth, Kiefer
dc.contributor.authorCocjin, John
dc.contributor.authorSarkar, T.J.
dc.contributor.authorJaved, Abeer
dc.date.accessioned2022-05-03T14:34:58Z
dc.date.available2022-05-03T14:34:58Z
dc.date.issued2012-12-14
dc.description.abstractEducational material concerning the development of an emotional speech detection algorithm.
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.extent33 pp
dc.identifier.citationForseth, Kiefer, Cocjin, John, Sarkar, T.J., et al.. "Robust Classification of Highly-Specific Emotion in Human Speech." (2012) Rice University: <a href="https://hdl.handle.net/1911/112345">https://hdl.handle.net/1911/112345</a>.
dc.identifier.digitalcol11465-FINAL
dc.identifier.urihttps://hdl.handle.net/1911/112345
dc.language.isoeng
dc.publisherRice University
dc.rightsThis work is licensed under a Creative Commons Attribution License (BY 3.0)
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subjectMathematics and Statistics
dc.subjectScience and Technology
dc.subjectSocial Sciences
dc.subject.keywordEmotional Prosody
dc.subject.keywordLinear Predictive Coding
dc.subject.keywordLPC
dc.subject.keywordMachine Learning
dc.subject.keywordNeural Networks
dc.subject.keywordSpeech Classification
dc.titleRobust Classification of Highly-Specific Emotion in Human Speech
dc.type.dcmiText
dc.type.genreInstructional and educational works
dcterms.accessRightsfreely accessible, openly licensed text
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
col11465-FINAL.pdf
Size:
1.58 MB
Format:
Adobe Portable Document Format
Collections