Beschreibung:
Blind source separation in an acoustic environment is a challenging problem. The reverberation times in realistic rooms require long separation filters. They have to be estimated in very short times as the room responses change drastically with user location. In addition, convolutive blind separation has a number of indeterminations that make the identification of filter coefficients difficult. Decorrelation of changing cross-power spectra of nonstationary signal has been proposed as a separation criterion by various authors. We have presented in particular a frequency domain on-line algorithm that seeks to decorrelate cross-power spectra estimated over multiple times. We will report the performance of the algorithm in a realistic environment. The results will be compared to more conventional adaptive beamforming algorithms. Furthermore, speech recognition results for a command and control application with a distant talking user will be presented.