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Low complexity blind separation technique to solve the permutation ambiguity of convolutive speech mixtures

: Lima, Pedro F.C.; Kehrle Miranda, Ricardo; Costa, Joao Paulo C.L. da; Zelenovsky, Ricardo; Yuan, Yizheng; Galdo, Giovanni del


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Communications Society:
10th International Conference on Signal Processing and Communication Systems, ICSPCS 2016. Proceedings : Surfers Paradise, Gold, Coast, Australia, December 19-21, 2016
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-0942-8 (Print)
ISBN: 978-1-5090-0940-4
ISBN: 978-1-5090-0941-1
10 S.
International Conference on Signal Processing and Communication Systems (ICSPCS) <10, 2016, Gold Coast>
Fraunhofer IIS ()
speech enhancement; Spatial Audio Coding; Audio Analyse

Microphone arrays can be incorporated in several devices ranging from hearing aids and bioacoustic recording equipment to teleconference phones and forensic sound recorders in order to attenuate the interference of unwanted sounds. The separation of speech mixtures can be easily performed on the frequency domain independently for each frequency component. However, in order to combine the separated signals of each frequency component, the permutation ambiguity should be solved. The state-of-the-art technique relies on an iterative computation of the dispersions of the differences between the source profiles. In this paper, we propose a low complexity solution for the permutation ambiguity with similar accuracy based on one dispersion.