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Vers un algorithme de détection (semi-) automatique des proéminences en français parlé
| Content Provider | Semantic Scholar |
|---|---|
| Author | Goldman, Jean-Philippe Avanzi, Mathieu |
| Copyright Year | 2007 |
| Abstract | Prosodic transcription of spoken corpora relies mainly on the identification of perceived prominence. However, the manual annotation of prominent phenomena is extremely time-consuming, and varies greatly from one expert to another. Automating this procedure would be of great importance. In this study, we present the first results of a methodology aiming at an automatic detection of prominence syllables. It is based on (i) a spontaneous French corpus that has been manually annotated according to a strict methodology and (ii) some acoustic prosodic parameters, shown to be corpus-independent, that are used to detect prominent syllables. Some automatic tools, used to handle large corpora, are also described. |
| Starting Page | 84 |
| Ending Page | 87 |
| Page Count | 4 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://hal.archives-ouvertes.fr/hal-00334678/document |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
