DocumentCode
607605
Title
Emotion recognition from the human voice
Author
Parlak, C. ; Diri, B.
Author_Institution
Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul, Turkey
fYear
2013
fDate
24-26 April 2013
Firstpage
1
Lastpage
4
Abstract
Speech 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.
Keywords
feature extraction; speaker recognition; biometric feature; communication tool; emotion recognition; human voice; realistic emotional features; speaker independent speech; speech data; textual data; Emotion recognition; Fingerprint recognition; Human voice; Mel frequency cepstral coefficient; Speech; Speech recognition; Emotion Analysis; Emotion Mining; Pitch; Prosody;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2013 21st
Conference_Location
Haspolat
Print_ISBN
978-1-4673-5562-9
Electronic_ISBN
978-1-4673-5561-2
Type
conf
DOI
10.1109/SIU.2013.6531196
Filename
6531196
Link To Document