Enhancement of speech recognition using a variable-length frame overlapping method

This paper proposes a method of determining a variable-length frame overlap between two consecutive frames for speech recognition. Compared with the conventional fixed-length frame overlapping method, the proposed method can improve the performance of speech signal processing when performing the front-end processing procedure of speech recognition. By varying the length of frame overlaps using the proposed method, a more accurate feature vector of speech signals will be extracted. Experiment results show that the proposed variable-length frame overlapping approach is apparently superior to the conventional fixed-length one in recognition performance.