DocumentCode
1565489
Title
ESEDA: A Tool for Enhanced Speech Emotion Detection and Analysis
Author
Sidorova, Julia ; Badia, Toni
fYear
2008
Firstpage
257
Lastpage
260
Abstract
This demo paper presents a speech emotion recognition tool, based on standard supervised machine learning methods and enhanced with an additional block of classification error analysis and fixing. The fixing part incorporates two optimisations: classification decomposition and treatment of the minority class problem. Experimental results demonstrate validity of this enhancement. The presentation will show capabilities of the tool described in this paper.
Keywords
emotion recognition; learning (artificial intelligence); speech recognition; classification decomposition; classification error analysis; enhanced speech emotion detection; fixing; speech emotion recognition tool; supervised machine learning methods; Emotion recognition; Error analysis; Feature extraction; Frequency; Handicapped aids; Machine learning; Speech analysis; Speech enhancement; Speech processing; Text processing; affective computing; speech emotion recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Automated solutions for Cross Media Content and Multi-channel Distribution, 2008. AXMEDIS '08. International Conference on
Conference_Location
Florence
Print_ISBN
978-0-7695-3406-0
Type
conf
DOI
10.1109/AXMEDIS.2008.39
Filename
4688077
Link To Document