Digital recognition based on acoustic universal structure

Recently,a novel acoustic representation of speech is proposed,called the acoustic universal structure,and is applied to a speaker-independent digital recognition system.After each digit utterance is converted into a sequence of distributions,the acoustic universal structure which can well remove the speaker variations is extracted to establish the structural model.In recognition stage,the acoustic universal structure is extracted from the test utterance,and then match with each digit's structural model.The candidate digit show the maximum likelihood score is the result of recognition.The experiments are conducted under the condition of training data only contains a single digit speech,and the performance of this method is compared with the traditional HMM.The results show the proposed method has better performance than HMM,and can discard different speaker variability effectively.