Prominence Detection in Swedish Using Syllable Correlates
2010 (English)In: Proceedings of the 11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010, Makuhari, Japan, 2010, 1784-1787 p.Conference paper (Refereed)
This paper presents an approach to estimating word level prominence in Swedish using syllable level features. The paper discusses the mismatch problem of annotations between word level perceptual prominence and its acoustic correlates, context, and data scarcity. 200 sentences are annotated by 4 speech experts with prominence on 3 levels. A linear model for feature extraction is proposed on a syllable level features, and weights of these features are optimized to match word level annotations. We show that using syllable level features and estimating weights for the acoustic correlates to minimize the word level estimation error gives better detection accuracy compared to word level features, and that both features exceed the baseline accuracy.
Place, publisher, year, edition, pages
Makuhari, Japan, 2010. 1784-1787 p.
Accent, Focus, Prominence, Syllable emphasis
Computer Science Language Technology (Computational Linguistics)
IdentifiersURN: urn:nbn:se:kth:diva-52160ISI: 000313086500058ScopusID: 2-s2.0-79959856954ISBN: 978-1-61782-123-3OAI: oai:DiVA.org:kth-52160DiVA: diva2:465455
11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010, Makuhari, Chiba, Japan, September 26-30, 2010
tmh_import_11_12_14. QC 201112202011-12-142011-12-142014-01-09Bibliographically approved