Abstract | ||
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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 |
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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-Wahab | 1 | 49 | 3.35 |
Carlos Busso | 2 | 1616 | 93.04 |