T. Syeda-Mahmood
Computer Vision and Image Understanding
A statistical technique for vector quantizer (VQ) prototype adaptation, based on tied-mixture continuous-parameter HMM's, is derived and evaluated on the basis of experimental evidence. Performance on difficult adaptation tasks indicates that VQ-prototype adaptation via tied-mixture HMM's constitutes a useful mechanism for speaker adaptation, particularly when there are substantial channel differences or when there is a large mismatch between reference and target speaker characteristics. © 1994 IEEE
T. Syeda-Mahmood
Computer Vision and Image Understanding
Milind R. Naphade, Sankar Basu, et al.
ICPR 2008
Shyam Marjit, Harshit Singh, et al.
WACV 2025
Girmaw Abebe Tadesse, Oliver Bent, et al.
IEEE SPM