ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Selection of features and combination of classifiers using a fuzzy approach for acoustic event classification

Andrey Temko, Dusan Macho, Climent Nadeu

In this paper, we aim to improve the classification of human non-speech sounds produced in a meeting-room environment by using concepts and tools from the fuzzy theory. Starting with an SVM-based baseline system, firstly a reduction of the number of features with the fuzzy measure is shown. And, secondly, a noticeable improvement of the classification performance is reported by combining the outputs of two classification systems with the fuzzy integral.


doi: 10.21437/Interspeech.2005-136

Cite as: Temko, A., Macho, D., Nadeu, C. (2005) Selection of features and combination of classifiers using a fuzzy approach for acoustic event classification. Proc. Interspeech 2005, 2989-2992, doi: 10.21437/Interspeech.2005-136

@inproceedings{temko05_interspeech,
  author={Andrey Temko and Dusan Macho and Climent Nadeu},
  title={{Selection of features and combination of classifiers using a fuzzy approach for acoustic event classification}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={2989--2992},
  doi={10.21437/Interspeech.2005-136}
}