Robust speaker recognition through acoustic array processing and spectral normalization

The development of a robust speaker recognition system obtained through the joint use of acoustic array processing and spectral normalization as input to a Gaussian mixture model speaker recognition system is described. Results obtained with these techniques have been reported previously by the authors, but operational problems appear if extensive testing with different configurations and testing conditions are intended. We describe an open system that has been developed to cope with this problem. The number and geometry of the microphones, the time delay estimation method, the array processing structure and the spectral normalization technique together with the room size, noise type and SNR are some of the options that can be easily changed. It will also allow testing with real multichannel databases and any new algorithm can easily be incorporated to the system