An Integrated Development Environment for Speech-Based Classification

Michael Feld, Christian Müller

In: Proceedings of the 13th International Conference "Speech and Computer" SPECOM 2009. Speech and Computer Conference (SPECOM-09) June 21-25 St. Petersburg Russia Pages 443-447 St. Petersburg State University of Aerospace Instrumentation 6/2009.


This paper presents a new machine learning framework for speech-based classification tasks that was developed in conjunction with the Agender project (age and gender recognition for telephone applications). The main goal of this framework is to provide a completely integrated development environment supporting all processes from design over evaluation to deployment of classification systems. It is intended for both researchers as well as application developers and specializes in audio signals as the resource to be classified. We show that the proposed framework outperforms other tools in several aspects.


feld_mueller_2009_specom.pdf (pdf, 613 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz