• Corpus ID: 18224226

Feature selection for multimodal: acoustic event detection

@inproceedings{Butko2011FeatureSF,
  title={Feature selection for multimodal: acoustic event detection},
  author={Taras Butko},
  year={2011}
}
  • T. Butko
  • Published 8 July 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…

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