2001: A Speaker Odyssey - The Speaker Recognition Workshop

June 18-22, 2001
Crete, Greece

Speaker Recognition from Coded Speech in Matched and Mismatched Conditions

Robert B. Dunn, Thomas F. Quatieri, Douglas A. Reynolds, Joseph P. Campbell

(1) MIT Lincoln Laboratory, Lexington, MA, USA
(2) Department of Defense, USA

We investigate the effect of speech coding on automatic speaker recognition when training and testing conditions are matched and mismatched. Experiments use standard speech coding algorithms (GSM, G.729, G.723, MELP) and a speaker recognition system based on Gaussian mixture models adapted from a universal background model. There is little loss in recognition performance for toll quality speech coders and slightly more loss when lower quality speech coders are used. Speaker recognition from coded speech using handset dependent score normalization is examined, and we find that this significantly improves performance, particularly when there is a mismatch between training and testing conditions

Full Paper   Presentation

Bibliographic reference.  Dunn, Robert B. / Quatieri, Thomas F. / Reynolds, Douglas A. / Campbell, Joseph P. (2001): "Speaker recognition from coded speech in matched and mismatched conditions", In ODYSSEY-2001, 115-120.