C.H. Morimoto, D. Koons, et al.
Image and Vision Computing
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
C.H. Morimoto, D. Koons, et al.
Image and Vision Computing
Ba Tu Truong, Svetha Venkatesh, et al.
ICPR 2002
Ritendra Datta, Jianying Hu, et al.
ICPR 2008
Sudeep Sarkar, Kim L. Boyer
Computer Vision and Image Understanding