Conference paper

 
Kockmann, M., Burget, L., Černocký, J.: Brno University of Technology System for Interspeech 2010 Paralinguistic Challenge, In: Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010), Makuhari, Chiba, JP, ISCA, 2010, p. 2822-2825, ISBN 978-1-61782-123-3, ISSN 1990-9772
Publication language:english
Original title:Brno University of Technology System for Interspeech 2010 Paralinguistic Challenge
Title (cs):Systém Vysokého učení technického v Brně pro Interspeech 2010 Paralinguistic Challenge
Pages:2822-2825
Proceedings:Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010)
Conference:Interspeech 2010
Place:Makuhari, Chiba, JP
Year:2010
ISBN:978-1-61782-123-3
Journal:Proceedings of Interspeech, Vol. 2010, No. 9, FR
ISSN:1990-9772
Publisher:International Speech Communication Association
URL:http://www.fit.vutbr.cz/research/groups/speech/publi/2010/kockmann_interspeech2010_IS100567.pdf [PDF]
Keywords
Age- and gender-recognition, GMM, MMI, eigenvoice, fusion
Annotation
This paper describes 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
Abstract
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.
BibTeX:
@INPROCEEDINGS{
   author = {Marcel Kockmann and Lukáš Burget and Jan Černocký},
   title = {Brno University of Technology System for Interspeech 2010
	Paralinguistic Challenge},
   pages = {2822--2825},
   booktitle = {Proceedings of the 11th Annual Conference of the
	International Speech Communication Association (INTERSPEECH
	2010)},
   journal = {Proceedings of Interspeech},
   volume = {2010},
   number = {9},
   year = {2010},
   location = {Makuhari, Chiba, JP},
   publisher = {International Speech Communication Association},
   ISBN = {978-1-61782-123-3},
   ISSN = {1990-9772},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9361}
}