Name
Abstract | ||
|---|---|---|
This paper presents the outline and performance of an automatic syllable boundary detection system. The syllabification of phonemes is performed with a rule-based system, implemented in a Java program. Phonemes are categorized into 6 classes and specific rules are developed to deal with a French spontaneous speech corpus. Moreover, the proposed phonemes, classes and rules are listed in an external configuration file of the tool (under GPL licence). Finally, performances are evaluated and compared to state-of-the-art systems and show significant improvements. |
Year | Venue | Keywords |
|---|---|---|
2010 | LREC 2010 - SEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION | rule based system |
Field | DocType | Citations |
Speech corpus,Computer science,Java program,Syllabification,Phonetic search technology,Speech recognition,Boundary detection,Artificial intelligence,Natural language processing,Syllable,Acoustic model | Conference | 5 |
PageRank | References | Authors |
0.67 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brigitte Bigi | 1 | 336 | 27.76 |
| Christine Meunier | 2 | 19 | 10.61 |
| Irina Nesterenko | 3 | 5 | 1.34 |
| Roxane Bertrand | 4 | 43 | 11.19 |