2001: A Speaker Odyssey - The Speaker Recognition Workshop
June 18-22, 2001
A novel system for text-prompted speaker recognition is presented. The system first segments the speech by Viterbi alignment with speaker independent models. It then applies a polynomial classifier to each subword for recognition. This methodology has several interesting aspects. First, the system has excellent computational scalability for identification. Second, the discriminative training method incorporates the background normalization into the enrollment process. Third, training can be performed with one-pass through the enrollment data. Experiments show that the new system is competitive with current HMM based approaches.
Full Paper Presentation
Bibliographic reference. Campbell, William M. / Broun, Charles C. (2001): "Text-prompted speaker recognition with polynomial classifiers", In ODYSSEY-2001, 183-188.