A study of training strategy of unit HMM for Chinese speech recognition
Pi Xiaobo, Limin Du, Hou Ziqiang · 2002
In an automatic speech recognition system based on HMM, the training of the unit HMM and the sequence of unit HMMs is not globally optimized therefore, the choice of initial parameters of the unit HMM, and the controlling for evolution of the training are crucial to the final results of the training and recognition accuracy. Rational considerations of the strategy for the training of the unit HMM and sequence of unit HMMs should be beneficial to performance improvement. We study the issue by comparing several methods of initialization of the parameters of the unit HMM, the controlling strategies of the training process and their effects on the recognition accuracy.