A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures

@article{Sarmiento2015ACF,
  title={A Contrast Function Based on Generalized Divergences for Solving the Permutation Problem in Convolved Speech Mixtures},
  author={Auxiliadora Sarmiento and Iv{\'a}n Dur{\'a}n-D{\'i}az and Andrzej Cichocki and Sergio Cruces},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2015},
  volume={23},
  pages={1713-1726}
}
In this paper, we propose a method for solving the permutation problem that is inherent in the separation of convolved mixtures of speech signals in the time-frequency domain. The proposed method obtains the solution through maximization of a contrast function that exploits the similarity of the temporal envelope of the speech spectrum. For this purpose, the contrast calculation uses a global measure of similarity based on the recently developed family of generalized Alpha-Beta divergences… CONTINUE READING

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