Brno university of technology system for interspeech 2010 paralinguistic challenge

This paper describes Brno University of Technology (BUT) system for the Interspeech 2010 Paralinguistic Challenge. Our submitted systems for the Age- and Gender-Sub-Challenges employ fusions of several sub-systems. We make use of our own acoustic frame-based feature sets, as well as the provided utterance-based acoustic, prosodic and voice quality features. Modeling is based on Gaussian Mixture Models (GMM) and Support Vector Machines (SVM), followed by linear Gaussian backends and logistic regression-based fusion. For a single subsystem, we obtain improvement of about 2% absolute, for both tasks, on the development-set. Our final fusion results in nearly 9% absolute improvement for the Age task and about 4.5% for the Gender task on the development set. On the final test set we obtain 3.5% and 2% absolute improvement, respectively.

• Type: Journal
• Year: 2010
• Where: INTERSPEECH
• Authors: Marcel Kockmann, Lukas Burget, Jan Cernocký
• Keywords: Absolute Improvement, Gaussian Mixture Models, INTERSPEECH 2010, Linear Gaussian Backends, Signal Processing