›› 2016, Vol. 29 ›› Issue (3): 30-.

• 论文 • 上一篇    下一篇



  1. (1.上海理工大学 光电信息与计算机工程学院,上海 200093;2.上海工程技术大学 艺术设计学院,上海 200093)
  • 出版日期:2016-03-15 发布日期:2016-03-18
  • 作者简介:朱洁(1991—),女,硕士研究生。研究方向:音频指纹技术等。邓开发(1965—),男,博士,教授,硕士生导师。研究方向:光信息与计算机处理等。
  • 基金资助:


An Approach to Audio Fingerprinting Extraction Based on Improved Wavelet Packet

ZHU Jie,DENG Kaifa   

  1. (1.School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;
    2.School of Art and Design,Shanghai University of Engineering Science,Shanghai 201620,China)
  • Online:2016-03-15 Published:2016-03-18



关键词: 音频指纹, 小波包分解, 奇异值熵, 样本熵, 特征提取


Digital audio fingerprinting technology plays an important role in the audio analysis and processing.Aiming at the problem that the traditional audio fingerprinting is extracted based on time frequency analysis using the energy of signal as a single feature parameter that can not fully characterize the complexity and irregularity,the paper proposes a method for audio fingerprinting extraction based on wavelet packet decomposition and reconstruction and combining the sample entropy of wavelet packet coefficients and the entropy singular value as a signal characteristic parameters to extract audio fingerprinting.Experimental results show that the proposed algorithm is accurate in audio recognition,robust in common audio signal operations,and capable of distinguishing different audio and locate tampered position.

Key words: audio fingerprinting;wavelet packet decomposes;entropy of singular values;sample entropy;feature extraction


  • TP391