ISCA Archive Interspeech 2006
ISCA Archive Interspeech 2006

Independent components for acoustic modeling

Jan Trmal, Jan Vanek, Ludek Müller, Jan Zelinka

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.

doi: 10.21437/Interspeech.2006-623

Cite as: Trmal, J., Vanek, J., Müller, L., Zelinka, J. (2006) Independent components for acoustic modeling. Proc. Interspeech 2006, paper 1526-Thu2BuP.3, doi: 10.21437/Interspeech.2006-623

  author={Jan Trmal and Jan Vanek and Ludek Müller and Jan Zelinka},
  title={{Independent components for acoustic modeling}},
  booktitle={Proc. Interspeech 2006},
  pages={paper 1526-Thu2BuP.3},