2001: A Speaker Odyssey - The Speaker Recognition Workshop
June 18-22, 2001
Our main motivation in this work is to investigate subbands based representation of speaker identities and then search for improvements to typical methods (such as MFCCs). Test results obtained via proposed Vector Ranking criteria, have shown that 0-1000 Hz and 3000-4500 Hz frequency bands are more significant in automatic speaker discrimination when compared to other frequencies. We propose a new filter bank for speaker identification systems. Performances of new cepstrum coefficients and MFCCs are compared which show that the proposed feature set results in significantly better SI performance.
Bibliographic reference. Orman, Özgür Devrim / Arslan, Levent M. (2001): "Frequency analysis of speaker identification", In ODYSSEY-2001, 219-222.