Name
Title | ||
|---|---|---|
Graph based Feature Selection Investigating Boundary Region of Rough Set for Language Identification |
Abstract | ||
|---|---|---|
•Suitable features are extracted based on the nature of speech.•Positive region of RST can measure the similarity if the given information is precise.•Boundary region of RST is also explored as audio speech dataset may contain uncertainty.•A MST is generated and a feature selection method is devised to select the relevant features.•The method is compared with popular diverse feature selection algorithms. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.eswa.2020.113575 | Expert Systems with Applications |
Keywords | DocType | Volume |
Language identification,Feature selection,Relative indiscernibility relation,Attribute dependency,Boundary region exploration | Journal | 158 |
ISSN | Citations | PageRank |
0957-4174 | 3 | 0.37 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ghazaala Yasmin | 1 | 3 | 0.37 |
| Asit Kumar Das | 2 | 73 | 16.06 |
| Janmenjoy Nayak | 3 | 60 | 10.40 |
| Danilo Pelusi | 4 | 81 | 15.27 |
| Weiping Ding | 5 | 278 | 44.96 |