Name
Abstract | ||
|---|---|---|
The spectral envelope is mainly determined by the shape of vocal tract and it is generally represented by linear estimation methods such as an autoregressive (AR) modeling. Neural network (NN) is general tools for modeling nonlinear function. Nonlinear aspects of NN have been emphasized. However, in this study, a novel approach to spectral estimation, which is based on the use of a linear feed-forward NN is discussed. Example of the linear network for estimating the spectral envelope of vowel sound is presented. The proposed linear NN technique leads to interesting new paradigms which could not have been considered in advance. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1587/elex.7.691 | IEICE ELECTRONICS EXPRESS |
Keywords | Field | DocType |
linear neural network, spectral envelope, vowel sound | Spectral envelope,Computer science,Electronic engineering,Speech recognition,Artificial neural network | Journal |
Volume | Issue | ISSN |
7 | 10 | 1349-2543 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takahiro Emoto | 1 | 4 | 4.93 |
| Udantha R. Abeyratne | 2 | 53 | 16.81 |
| Akutagawa Masatake | 3 | 13 | 11.43 |
| Shinsuke Konaka | 4 | 34 | 5.97 |
| Y. Kinouchi | 5 | 22 | 16.80 |