14thAnnual Conference of the International Speech Communication Association

Lyon, France
August 25-29, 2013

Classification of Developmental Disorders from Speech Signals Using Submodular Feature Selection

Katrin Kirchhoff, Yuzong Liu, Jeff Bilmes

University of Washington, USA

We present our system for the Interspeech 2013 Computational Paralinguistics Autism Sub-challenge. Our contribution focuses on improving classification accuracy of developmental disorders by applying a novel feature selection technique to the rich set of acoustic-prosodic features provided for this purpose. Our feature selection approach is based on submodular function optimization. We demonstrate significant improvements over systems using the full feature set and over a standard feature selection approach. Our final system outperforms the official Challenge baseline system significantly on the development set for both classification tasks, and on the test set for the Typicality task. Finally, we analyze the subselected features and identify the most important ones.

Full Paper

Bibliographic reference.  Kirchhoff, Katrin / Liu, Yuzong / Bilmes, Jeff (2013): "Classification of developmental disorders from speech signals using submodular feature selection", In INTERSPEECH-2013, 187-190.