Name
Title | ||
|---|---|---|
Application of the pairwise variability index of speech rhythm with particle swarm optimization to the classification of native and non-native accents. |
Abstract | ||
|---|---|---|
•A new rhythm metric, Optimized Pairwise Variability Index (O-PVI), is proposed.•The O-PVI provides a generalization of conventional PVI rhythm metrics.•Particle Swarm Optimization (PSO) is used to select the best O-PVI parameters.•The combined PSO/O-PVI approach achieves best classification of Arabic native/non-native speakers.•Experiments compare interval- and PVI-based rhythm metrics.
|
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.csl.2017.10.006 | Computer Speech & Language |
Keywords | Field | DocType |
Speech rhythm,Rhythm metrics,Pairwise variability index,Classification,Modern standard Arabic,Particle swarm optimization,Non-native accent | Particle swarm optimization,Speech corpus,Pairwise comparison,Speech rhythm,Pattern recognition,Swarm behaviour,Computer science,Support vector machine,Speech recognition,Modern Standard Arabic,Artificial intelligence,Rhythm | Journal |
Volume | Issue | ISSN |
48 | C | 0885-2308 |
Citations | PageRank | References |
0 | 0.34 | 13 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Gharsellaoui | 1 | 5 | 1.57 |
| Sid-Ahmed Selouani | 2 | 124 | 33.39 |
| Wladyslaw Cichocki | 3 | 3 | 1.56 |
| Yousef Ajami Alotaibi | 4 | 53 | 16.25 |
| Adel Omar Dahmane | 5 | 24 | 8.77 |