Name
Title | ||
|---|---|---|
A Kernel-based Discrimination Framework for Solving Hypothesis Testing Problems with Application to Speaker Verification |
Abstract | ||
|---|---|---|
Real-word applications often involve a binary hypothesis testing problem with one of the two hypotheses ill-defined and hard to be characterized precisely by a single measure. In this paper, we develop a framework that integrates multiple hypothesis testing measures into a unified decision basis, and apply kernel-based classification techniques, namely, Kernel Fisher Discriminant (KFD) and Support Vector Machine (SVM), to optimize the integration. Experiments conducted on speaker verification demonstrate the superiority of our approaches over the predominant approaches. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.89 | ICPR (4) |
Keywords | Field | DocType |
single measure,binary hypothesis,support vector machine,speaker verification,hypothesis testing problems,kernel-based discrimination framework,kernel fisher discriminant,predominant approach,real-word application,multiple hypothesis,unified decision basis,kernel-based classification technique,multiple hypothesis testing,support vector machines,speaker recognition,hypothesis test | Kernel (linear algebra),Speaker verification,Pattern recognition,Computer science,Support vector machine,Multiple comparisons problem,Speaker recognition,Artificial intelligence,Binary hypothesis testing,Linear discriminant analysis,Machine learning,Statistical hypothesis testing | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2521-0 | 4 |
PageRank | References | Authors |
0.49 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi-Hsiang Chao | 1 | 40 | 6.39 |
| Wei-Ho Tsai | 2 | 190 | 27.13 |
| Hsin-min Wang | 3 | 1201 | 129.62 |
| Ruei-Chuan Chang | 4 | 267 | 56.19 |