Abstract | ||
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Decision trees axe probably the most common way for generatingmodels for phonemes in their phonetic context. Inthis paper we investigated several ways how speaking rateinformation can be integrated in the decision tree process.We basically focused on two approaches: on the one handa speaking rate feature included in the decision tree itselfand on the other hand a pruning approach for creatingindividual model sets. Recently, some papers have comeup with the idea to include a gender... |
Year | Venue | Keywords |
---|---|---|
2000 | INTERSPEECH | decision tree |
Field | DocType | Citations |
Decision tree,Grafting (decision trees),Pattern recognition,Computer science,Influence diagram,Artificial intelligence,ID3 algorithm,Machine learning,Decision tree learning,Alternating decision tree,Decision stump,Incremental decision tree | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Robert Faltlhauser | 1 | 26 | 3.62 |
Thilo Pfau | 2 | 113 | 15.74 |
Günther Ruske | 3 | 154 | 36.13 |