Ninth International Conference on Spoken Language Processing

Pittsburgh, PA, USA
September 17-21, 2006

Independent Components for Acoustic Modeling

Jan Trmal, Jan Vanek, Ludek Müller, Jan Zelinka

University of West Bohemia, Czech Republic

In the paper, we present a comparative study of several methods used nowadays in the field of feature and information extraction. We compared several Independent Component Analysis (ICA) algorithms together with the commonly used Principal Component Analysis (PCA) algorithm in two real-world tasks. The first task was a Voice Activity Detection (VAD), the second is Speaker Verification and Recognition (SVR). The VAD system as well as the SVR system benefited from the ICA decompositions. Moreover, a brief comparison of the information extraction ability is described.

Full Paper

Bibliographic reference.  Trmal, Jan / Vanek, Jan / Müller, Ludek / Zelinka, Jan (2006): "Independent components for acoustic modeling", In INTERSPEECH-2006, paper 1526-Thu2BuP.3.