Name
Title | ||
|---|---|---|
Applying Elliptical Basis Function Neural Networks To Vad For Wireless Communication Systems |
Abstract | ||
|---|---|---|
Voice activity detection (VAD) determines whether a slice of waveform is voice or silence. The proposed VAD algorithm applying Elliptical Basis Function (EBF) neural networks uses k-means clustering and least mean square for the update algorithm. The error rates achieved by the EBF network have superior performance to those of G.729 Annex B and RBF. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1093/ietcom/e89-b.4.1423 | IEICE TRANSACTIONS ON COMMUNICATIONS |
Keywords | Field | DocType |
voice activity detection, neural network, elliptical basis function, linear prediction coefficients | Least mean squares filter,k-means clustering,Radial basis function,Detection theory,Computer science,Voice activity detection,Word error rate,Speech recognition,Artificial neural network,Cluster analysis | Journal |
Volume | Issue | ISSN |
E89B | 4 | 0916-8516 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hosun Lee | 1 | 10 | 4.66 |
| Sukyung Kim | 2 | 0 | 0.34 |
| Sungkwon Park | 3 | 55 | 14.77 |