Name
Abstract | ||
|---|---|---|
In the paper we demonstrate a complex supervised learning method based on a binary decision graphs This method is employed in construction of a silence/speech detector Performance of the resulting silence/speech detector is compared with performance of common silence/speech detectors used in telecommunications and with a detector based on HMM and a bigram silence/speech language model Each non-leaf node of a decision graph has assigned a question and a sub-classifier answering this question We test three kinds of these sub-classifiers: linear classifier, classifier based on separating quadratic hyper-plane (SQHP), and Support Vector Machines (SVM) based classifier Moreover, besides usage of a single decision graph we investigate application of a set of binary decision graphs. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11846406_68 | TSD |
Keywords | Field | DocType |
common silence,speech detection method,binary decision graph,linear classifier,resulting silence,speech detector,speech language model,speech detector performance,decision graph,bigram silence,single decision graph,language model,speech detection,supervised learning,support vector machine | Voice activity detection,Computer science,Support vector machine,Binary decision diagram,Speech recognition,Supervised learning,Bigram,Classifier (linguistics),Linear classifier,Language model | Conference |
Volume | ISSN | ISBN |
4188 | 0302-9743 | 3-540-39090-1 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jan Trmal | 1 | 235 | 20.91 |
| Jan Zelinka | 2 | 37 | 8.86 |
| Jan Vaněk | 3 | 26 | 5.40 |
| Luděk Müller | 4 | 75 | 10.67 |