Name
Title | ||
|---|---|---|
Mapping the speech signal onto electromagnetic articulography trajectories using support vector regression |
Abstract | ||
|---|---|---|
We report work on the mapping between the speech signal and articulatory trajectories from the MOCHA database. Contrasting previous works that used Neural Networks for the same task, we employ Support Vector Regression as our main tool, and Principal Component Analysis as an auxiliary one. Our results are comparable, even though, due to training time considerations we use only a small portion of the available data. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11551874_41 | TSD |
Keywords | Field | DocType |
support vector regression,available data,electromagnetic articulography,neural networks,speech signal,principal component analysis,small portion,previous work,mocha database,main tool,articulatory trajectory,neural network | Speech processing,Computer science,Support vector machine,Speech recognition,Manner of articulation,Natural language,Independent component analysis,Artificial neural network,Principal component analysis,Trajectory | Conference |
Volume | ISSN | ISBN |
3658 | 0302-9743 | 3-540-28789-2 |
Citations | PageRank | References |
1 | 0.37 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asterios Toutios | 1 | 25 | 6.55 |
| Konstantinos Margaritis | 2 | 9 | 3.26 |