5th International Conference on Spoken Language Processing
This paper describes a first step towards the automatic classification of prominence (as defined by naive listeners). As a result of a listening experiment each word in 500 sentences was marked with a rating scale between '0' (non-prominent) and '10' (very prominent). These prominence labels are compared with the following acoustical features: loudness of each vowel, and F0 range and duration of each syllable. A linear relationship between the rating scale of prominence and these acoustical features is found. These acoustical features then are used for a preliminary automatic classification to predict prominence.
Bibliographic reference. Streefkerk, Barbertje M. / Pols, Louis C. W. / Bosch, Louis F.M. ten (1998): "Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences", In ICSLP-1998, paper 0285.