14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Using Generalized Additive Models and Random Forests to Model Prosodic Prominence in German

Denis Arnold (1), Petra Wagner (2), R. Harald Baayen (1)

(1) Eberhard Karls Universität Tübingen, Germany
(2) Universität Bielefeld, Germany

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.

Full Paper

Bibliographic reference.  Arnold, Denis / Wagner, Petra / Baayen, R. Harald (2013): "Using generalized additive models and random forests to model prosodic prominence in German", In INTERSPEECH-2013, 272-276.