In this paper we will investigate the usefulness of the rhythmogram, a speech rhythm representation based on the Auditory Primal Sketch model, for the automatic detection of prominent syllables. This representation was compared to other features usually used for this task and it showed a higher performance in the identification of prominent/non-prominent syllables. A new prominence detection algorithm is proposed, combining the rhythmogram and pitch features and tested on two corpora of Italian and French. The results obtained showed significant detection improvements with respect to other systems in the literature, 0.9% and 2.5% accuracy increase respectively.
Bibliographic reference. Ludusan, Bogdan / Origlia, Antonio / Cutugno, Francesco (2011): "On the use of the rhythmogram for automatic syllabic prominence detection", In INTERSPEECH-2011, 2413-2416.