Speaker adaptation of acoustic models using correlations of training transfer vectors
Speaker Adaptation of Acoustic Models Using Correlations of
Training Transfer Vectors
Satoshi Takahashi
*
and Shigeki Sagayama
�
NTT Human Interface Laboratories, Yokosuka, Japan 239-0847
SUMMARY
The authors proposed for acoustic models based on
the hidden Markov model a method that involves applying
constraints to the model structure and tying the model�s
parameters in order to improve the training
