Rethinking algorithm design and development in speech processing

authored by

Thilo Stadelmann, Yinghui Wang, Matthew Smithy, Ralph Ewerth, Bernd Freisleben

Abstract

Speech processing is typically based on a set of complex algorithms requiring many parameters to be specified. When parts of the speech processing chain do not behave as expected, trial and error is often the only way to investigate the reasons. In this paper, we present a research methodology to analyze unexpected algorithmic behavior by making (intermediate) results of the speech processing chain perceivable and intuitively comprehensible by humans. The workflow of the process is explicated using a real-world example leading to considerable improvements in speaker clustering. The described methodology is supported by a software toolbox available for download.

External Organisation(s)

Philipps-Universität Marburg

Type

Conference contribution

Pages

4476-4479

No. of pages

4

Publication date

07.10.2010

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Electronic version(s)

https://doi.org/10.1109/ICPR.2010.1087 (Access: Closed)