A method for improving the accuracy of dynamic features calculation in speech recognition

摘要

A new method for estimating dynamic features used in speech recognition is proposed. The proposed method involves: 1) increasing time resolution of static features used for dynamic feature estimation, 2) relaxing the restriction that estimation span must be an integer multiple of frame shift, and making the estimation span arbitrary. Evaluating the proposed method with a broadcast news testset, word accuracy improved by selecting appropriate estimation span. Error reduction rate in word accuracy was up to 24% relatively in noisy news speech. The overall error reduction rate was 6.5% relatively.