Underdetermined Sound Source Separation Using Power Spectrum Density Estimated by Combination of Directivity Gain

@article{Uematsu2013UnderdeterminedSS,
  title={Underdetermined Sound Source Separation Using Power Spectrum Density Estimated by Combination of Directivity Gain},
  author={Hisashi Uematsu and Ken'ichi Furuya and Kazunori Kobayashi and Yusuke Hioka and Youichi Haneda},
  journal={IEEE Transactions on Audio, Speech, and Language Processing},
  year={2013},
  volume={21},
  pages={1240-1250}
}
A method for separating underdetermined sound sources based on a novel power spectral density (PSD) estimation is proposed. The method enables up to M(M-1)+1 sources to be separated when we use a microphone array of M sensors and a Wiener post-filter calculated by the estimated PSDs. The PSD of a beamformer's output is modelled by a mixture of source PSDs multiplied by the beamformer's directivity gain in the particular angle where each source is located. Based on this model, the PSD of each… CONTINUE READING
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