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Emotion Recognition from the Human Voice

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dc.contributor.authorParlak, Cevahir
dc.contributor.authorDiri, Banu
dc.date.accessioned2026-06-27T13:19:53Z
dc.date.issued2013
dc.description.abstractSpeech is the most important communication tool between humans and is thousands of years old. As known human voice is a biometric feature like fingerprint and carries the emotional state of the speaker. Therefore, speech data acquired from live talks may have more realistic emotional features than textual data. In this work, we will try to determine whether a speaker independent speech is angry, neutral, happy or sad.en
dc.identifier.isbn978-1-4673-5563-6; 978-1-4673-5562-9
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/51905
dc.identifier.wos000325005300037
dc.language.isotur
dc.publisherIEEE
dc.relation.conference21st Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2013 21ST SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectEmotion Analysis
dc.subjectEmotion Mining
dc.subjectProsody
dc.subjectPitch
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleEmotion Recognition from the Human Voice
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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