This paper studies the problem of blind separation of convolutive mixtures by means of Kullback-Leibler divergence in frequency domain. Unlike exiting approaches, an integrated objective function is defined in frequency-domain with time-domain parameters as the variables. The permutation problem is avoided through the frequency-domain integration and time-domain optimization. Simulation results show that the algorithm is valid and of high performance for the separation of real-world recorded convolutive mixtures.
|Title of host publication||Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005|
|Number of pages||4|
|Publication status||Published - 01.12.2005|
|Event||8th International Symposium on Signal Processing and its Applications - Sydney, Australia|
Duration: 28.08.2005 → 31.08.2005
Conference number: 69204