Speech Separation with Microphone Arrays Using the Mean Shift Algorithm

Ayllón D, Gil-Pita R, Rosa-Zurera M. Speech Separation with Microphone Arrays Using the Mean Shift Algorithm. In: AES Convention 133. Audio Engineering Society; 2012. Paper 8799. Available from: https://aes.org/publications/elibrary-page/?id=16541

@inproceedings{Ayllon2012_16541,
  author = {Ayllón, David and Gil-Pita, Roberto and Rosa-Zurera, Manuel},
  title = {{Speech Separation with Microphone Arrays Using the Mean Shift Algorithm}},
  booktitle = {AES Convention 133},
  note = {Paper 8799},
  year = {2012},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16541}
}

TY  - CPAPER
TI  - Speech Separation with Microphone Arrays Using the Mean Shift Algorithm
AU  - Ayllón, David
AU  - Gil-Pita, Roberto
AU  - Rosa-Zurera, Manuel
T2  - AES Convention 133
M1  - Paper 8799
PY  - 2012
DA  - 2012/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16541
PB  - Audio Engineering Society
LA  - en
AB  - Microphone arrays provide spatial resolution that is useful for speech source separation due to the fact that sources located in different positions cause different time and level differences in the elements of the array. This feature can be combined with time-frequency masking in order to separate speech mixtures by means of clustering techniques, such as the so-called DUET algorithm, which uses only two microphones. However, there are applications where larger arrays are available, and the separation can be performed using all these microphones. A speech separation algorithm based on mean shift clustering technique has been recently proposed using only two microphones. In this work the aforementioned algorithm is generalized for arrays of any number of microphones, testing its performance with echoic speech mixtures. The results obtained show that the generalized mean shift algorithm notably outperforms the results obtained by the original DUET algorithm.
ER  -