Title
Domain Adversarial for Acoustic Emotion Recognition.
Abstract
The performance of speech emotion recognition is affected by the differences in data distributions between train (source domain) and test (target domain) sets used to build and evaluate the models. This is a common problem, as multiple studies have shown that the performance of emotional classifiers drops when they are exposed to data that do not match the distribution used to build the emotion cl...
Year
DOI
Venue
2018
10.1109/TASLP.2018.2867099
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Keywords
DocType
Volume
Emotion recognition,Training,Speech recognition,Data models,Testing,Speech processing
Journal
26
Issue
ISSN
Citations 
12
2329-9290
8
PageRank 
References 
Authors
0.51
26
2
Name
Order
Citations
PageRank
Mohammed Abdel-Wahab1493.35
Carlos Busso2161693.04