- Tanja Schultz, A. Waibel, Qin Jin. 2007. Robust speaker recognition. Abstract: The automatic speaker recognition technologies have developed into more and more important modern technologies required by many speech-aided applications. The main challenge for automatic speaker recognition is to deal with the variability of the environments and channels from where the speech was obtained. In previous work, good results have been achieved for clean high-quality speech with matched training and test acoustic conditions, such as high accuracy of speaker identification and verification using clean wideband speech and Gaussian Mixture Models (GMM). However, under mismatched conditions and noisy environments, often expected in real-world conditions, the performance of GMM-based systems degrades significantly, far away from the satisfactory level. Therefore, robustness becomes a crucial research issue in speaker recognition field. 
