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Classification Influence of Features on Given Emotions and Its Application in Feature Selection
| Content Provider | Scilit |
|---|---|
| Author | Xing, Yin Chen, Chuang Liu, Li-Long |
| Copyright Year | 2018 |
| Description | Journal: Journal of Physics: Conference Series In order to solve the problem that there is a large amount of redundant data in high-dimensional speech emotion features, we analyze deeply the extracted speech emotion features and select better features. Firstly, a given emotion is classified by each feature. Secondly, the recognition rate is ranked in descending order. Then, the optimal threshold of features is determined by rate criterion. Finally, the better features are obtained. When applied in Berlin and Chinese emotional data set, the experimental results show that the feature selection method outperforms the other traditional methods. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1004/1/012017/pdf http://iopscience.iop.org/article/10.1088/1742-6596/1004/1/012017/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1004/1/012017 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1004 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-04-25 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Cybernetical Science Feature Selection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
