Multisensory speech enhancement in noisy environments using bone-conducted and air-conducted microphones

@article{Li2014MultisensorySE,
  title={Multisensory speech enhancement in noisy environments using bone-conducted and air-conducted microphones},
  author={Mingzi Li and Israel Cohen and Saman Mousazadeh},
  journal={2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)},
  year={2014},
  pages={1-5}
}
In this paper, we propose a speech enhancement algorithm for estimating the clean speech using samples of air-conducted and bone-conducted speech signals. We introduce a model in a supervised learning framework by approximating a mapping from concatenation of noisy air-conducted and bone-conducted speech to clean speech in the short time Fourier transform domain. Two function extension schemes are utilized: geometric harmonics and Laplacian pyramid. Performances obtained from the two schemes… CONTINUE READING

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