Title
Over-Sampling Emotional Speech Data Based on Subjective Evaluations Provided by Multiple Individuals
Abstract
A common step in the area of speech emotion recognition is to obtain ground-truth labels describing the emotional content of a sentence. The underlying emotion of a given recording is usually unknown, so perceptual evaluations are conducted to annotate its perceived emotion. Each sentence is often annotated by multiple raters, which are aggregated with methods such as majority vote rules. This pap...
Year
DOI
Venue
2021
10.1109/TAFFC.2019.2901465
IEEE Transactions on Affective Computing
Keywords
DocType
Volume
Training,Emotion recognition,Speech recognition,Databases,Machine learning,Task analysis,Neural networks
Journal
12
Issue
ISSN
Citations 
4
1949-3045
0
PageRank 
References 
Authors
0.34
18
2
Name
Order
Citations
PageRank
Reza Lotfian1302.65
Carlos Busso2111.96