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.
Cite as: Streefkerk, B.M., Pols, L.C.W., Bosch, L.F.M.t. (1998) Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0285, doi: 10.21437/ICSLP.1998-137
@inproceedings{streefkerk98_icslp,
author={Barbertje M. Streefkerk and Louis C. W. Pols and Louis F.M. ten Bosch},
title={{Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0285},
doi={10.21437/ICSLP.1998-137}
}