Information Theoretic Feature Extraction for Audio-Visual Speech Recognition

@article{Gurban2009InformationTF,
  title={Information Theoretic Feature Extraction for Audio-Visual Speech Recognition},
  author={Mihai Gurban and Jean-Philippe Thiran},
  journal={IEEE Transactions on Signal Processing},
  year={2009},
  volume={57},
  pages={4765-4776}
}
The problem of feature selection has been thoroughly analyzed in the context of pattern classification, with the purpose of avoiding the curse of dimensionality. However, in the context of multimodal signal processing, this problem has been studied less. Our approach to feature extraction is based on information theory, with an application on multimodal classification, in particular audio-visual speech recognition. Contrary to previous work in information theoretic feature selection applied to… CONTINUE READING
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