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 1. a spontaneous French corpus that has been manually annotated according to a strict methodology and 2. 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.
Bibliographic reference. Goldman, J. -Ph. / Avanzi, M. / Simon, A. -C. / Lacheret, Anne / Auchlin, A. (2007): "A methodology for the automatic detection of perceived prominent syllables in spoken French", In INTERSPEECH-2007, 98-101.