Name
Title | ||
|---|---|---|
A comparison of constrained trajectory segment models for large vocabulary speech recognition |
Abstract | ||
|---|---|---|
This paper compares parametric and nonparametric constrained-mean trajectory segment models for large vocabulary speech recognition, extending distribution clustering techniques to handle polynomial mean trajectory models for robust parameter estimation. The parametric model has fewer free parameters and gives similar recognition performance to the nonparametric model, but has higher recognition costs |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1109/89.668825 | IEEE Transactions on Speech and Audio Processing |
Keywords | Field | DocType |
parameter estimation,pattern recognition,speech recognition,constrained trajectory segment models,distribution clustering techniques,large vocabulary speech recognition,nonparametric constrained-mean trajectory,parametric constrained-mean trajectory,polynomial mean trajectory models,recognition costs,recognition performance,robust parameter estimation | Parametric model,Polynomial,Pattern recognition,Computer science,Nonparametric statistics,Speech recognition,Parametric statistics,Artificial intelligence,Estimation theory,Cluster analysis,Trajectory,Free parameter | Journal |
Volume | Issue | ISSN |
6 | 3 | 1063-6676 |
Citations | PageRank | References |
3 | 0.57 | 14 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Kannan | 1 | 195 | 25.98 |
| Mari Ostendorf | 2 | 2462 | 348.75 |