Rethinking algorithm design and development in speech processing

verfasst von

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.

Externe Organisation(en)

Philipps-Universität Marburg

Typ

Aufsatz in Konferenzband

Seiten

4476-4479

Anzahl der Seiten

4

Publikationsdatum

07.10.2010

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Maschinelles Sehen und Mustererkennung

Elektronische Version(en)

https://doi.org/10.1109/ICPR.2010.1087 (Zugang: Geschlossen)