Lip Reading Using Wavelet-Based Features and Random Forests Classification

@article{Terissi2014LipRU,
  title={Lip Reading Using Wavelet-Based Features and Random Forests Classification},
  author={Lucas D. Terissi and Marianela Parodi and Juan Carlos G{\'o}mez},
  journal={2014 22nd International Conference on Pattern Recognition},
  year={2014},
  pages={791-796}
}
  • Lucas D. Terissi, Marianela Parodi, Juan Carlos Gómez
  • Published in
    22nd International Conference…
    2014
  • Computer Science
  • In this paper, a visual speech classification scheme based on wavelets and Random Forests (RF) is proposed. Wavelet multiresolution analysis is used to model the sequence of visual parameters, represented by either model-based or image-based features. The coefficients associated with these representations are used as features to model the visual information. Lip reading is then performed using these wavelet-based features and a Random Forests classification method. The performance of the… CONTINUE READING

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