A Methodology For The Automatic Detection Of Perceived Prominent Syllables In Spoken French
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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.