Name
Abstract | ||
|---|---|---|
In Hungarian, as more or less in many other languages, a large percent of words and phrases can be pronounced in several, different, but correct ways. Introducing pronunciation alternatives for individual vocabulary elements may improve the efficiency of the recognition. But in connected word recognition tasks the modeling of inter-word phonetic changes has a greater significance. In this paper we introduce a rule-based method for the automatic generation of pronunciation alternatives used first for isolated words and later the method is extended to handle cross-word phonological changes in recognition networks, applying a special approach applicable for the Hungarian language. To evaluate the method it is tested in connected number recognition tests. |
Year | Venue | Keywords |
|---|---|---|
2001 | INTERSPEECH | word recognition,rule based |
Field | DocType | Citations |
Pronunciation,Hungarian Language,Computer science,Word recognition,Speech recognition,Natural language processing,Artificial intelligence,Vocabulary | Conference | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tibor Fegyó | 1 | 61 | 10.46 |
| Péter Mihajlik | 2 | 58 | 10.15 |
| Péter Tatai | 3 | 21 | 3.71 |
| Géza Gordos | 4 | 17 | 5.62 |