An Audio Scrambling Degree Measure Based on Information Criteria
In this paper, we study the normalized measure of audio scrambling degree which is consistent with the human auditory system. Firstly, we study the average short term audio entropy property. Randomly selecting consecutive sample points from a given-length audio analysis frame, we compute its short term entropy and then its corresponding mean value. Witb the increasing length for an analysis frame, the average short term entropy increases as well and finally keeps stable around global entropy for whole audio sequence. During the process, for an updated audio with more chaos, its average short term entropy reaches a big value in an earlier stage and then keeps in this leveL Therefore, we propose an audio scrambling degree measure based on multi-scale average short term entropy. Experimental results suggest the method can obtain excellent measuring results for different types of audio, such as speech and music.
Audio Scrambling Degree Short Term Entropy Multi-scale
Gang Chen Bo Han
Intemational School of Software Wuhan University Wuhan, China
国际会议
2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)
大连
英文
181-185
2010-07-05（万方平台首次上网日期，不代表论文的发表时间）