Kai Shen, Lingfei Wu, et al.
IJCAI 2020
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
Kai Shen, Lingfei Wu, et al.
IJCAI 2020
Silvio Savarese, Holly Rushmeier, et al.
Proceedings of the IEEE International Conference on Computer Vision
Opher Etzion
DEBS 2007
Ken C.L. Wong, Satyananda Kashyap, et al.
Pattern Recognition Letters