Name
Abstract | ||
|---|---|---|
This paper addresses the use of a data-driven approach to de- termine a multidialectal phone set for an automatic speech recognition system for Spanish dialects. This approach is based on a decision tree clustering algorithm that tries to cluster contextual units of different dialects. This procedure avoids the definition of a global phonetic inventory and the previous study of similarity of sounds. The procedure is applied in Spanish as spoken in Spain, Colombia and Venezuela. Results show differences between phonemes that share the same SAMPA symbol in different dialects and also detect similarities between phonemes that are represented by different symbols in dialectal variants. Recognition results using this multidialectal approach over- come the monodialectal ones. |
Year | Venue | Keywords |
|---|---|---|
2004 | INTERSPEECH | decision tree,automatic speech recognition |
Field | DocType | Citations |
Decision tree,Data-driven,Pattern recognition,Computer science,Symbol,Speech recognition,Phone,Artificial intelligence,Natural language processing,Cluster analysis | Conference | 2 |
PageRank | References | Authors |
0.41 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mónica Caballero | 1 | 6 | 1.23 |
| Asunción Moreno | 2 | 399 | 44.97 |
| Albino Nogueiras | 3 | 139 | 15.27 |