INTERSPEECH 2004 - ICSLP
In this paper, new analyses are provided for the problems of applying linear prediction (LP) HMMs in speech recognition. It is shown that, apart from simply aggregating all predictors in one LP, which produces inconsistent results, 'combination' provides another useful way to implement complex dependencies. A method by discriminative combination of multiple LPs (DCoLP) is proposed, with a component-LP selection heuristic. The resulting DCoLP model was tested on a speaker-independent, large vocabulary continuous speech recognition task, and showed improved performance over the standard HMM with comparable computation cost.
Bibliographic reference. Ou, Zhijian / Zuoying, Wang (2004): "Discriminative combination of multiple linear predictions for speech recognition", In INTERSPEECH-2004, 553-556.