Automatic detection of prominence (as defined by listeners' judgements) in read aloud dutch sentences
نویسندگان
چکیده
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.
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