Using generalized additive models and random forests to model prosodic prominence in German
- The perception of prosodic prominence is influenced by different sources like different acoustic cues, linguistic expectations and context. We use a generalized additive model and a random forest to model the perceived prominence on a corpus of spoken German. Both models are able to explain over 80% of the variance. While the random forests give us some insights on the relative importance of the cues, the general additive model gives us insights on the interaction between different cues to prominence.
Author: | Denis ArnoldORCiDGND, Petra Wagner, R. Harald BaayenGND |
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URN: | urn:nbn:de:bsz:mh39-59553 |
URL: | http://www.isca-speech.org/archive/archive_papers/interspeech_2013/i13_0272.pdf |
ISBN: | 978-1-62993-443-3 |
ISSN: | 2308-457X |
Parent Title (English): | 14th Annual Conference of the International Speech Communication Association (INTERSPEECH 2013), Lyon, France, 25-29 August 2013 |
Publisher: | International Speech Communications Association |
Editor: | F. Bimbot, C. Cerisara, C. Fougeron, G. Gravier, L. Lamel, F. Pellegrino, P. Perrier |
Document Type: | Conference Proceeding |
Language: | English |
Year of first Publication: | 2013 |
Date of Publication (online): | 2017/03/07 |
Reviewstate: | Peer-Review |
Tag: | gam; prominence; prosody; random forests |
GND Keyword: | Prosodie |
First Page: | 272 |
Last Page: | 276 |
DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
Open Access?: | ja |
Linguistics-Classification: | Phonetik / Phonologie |
Licence (German): | Urheberrechtlich geschützt |