Balancing acoustic and linguistic probabilities
نویسندگان
چکیده
The length of the word sequence is not taken into account under language modeling of n-gram local probability modeling. Due to this property, the optimal values of the language weight and word insertion penalty for balancing acoustic and linguistic probabilities is affected by the length of word sequence. To deal with this problem, a new language model is developed based on Bernoulli trial model taking the length of the word sequence into account. Not only better recognition accuracy but also robust balancing with acoustic probability compared with the normal n-gram model of the proposed method is confirmed through recognition experiments.
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تاریخ انتشار 1998