Corpus ID: 18224226

Feature selection for multimodal: acoustic Event detection

@inproceedings{Butko2011FeatureSF,
  title={Feature selection for multimodal: acoustic Event detection},
  author={T. Butko},
  year={2011}
}

T. Butko

Published 2011

Computer Science

The detection of the Acoustic Events (AEs) naturally produced in a meeting room may help to describe the human and social activity. [...] Key Method Two basic detection approaches are investigated in this work: a joint segmentation and classification using Hidden Markov Models (HMMs) with Gaussian Mixture Densities (GMMs), and a detection-by-classification approach using discriminative Support Vector Machines (SVMs). For the first case, a fast one-pass-training feature selection algorithm is developed in this…Expand Abstract

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