Abstract: This paper presents a digital signature algorithm based on feature of the audio.Extract the statistical feature of wavelet domain of the chaotic encrypted initial audio as the eigenvectors，which is then Hashed to generate digital signature.The zero-watermark algorithm is used to embed the digital signature to the original audio to solve the save，the management and the transport of the digital signature.When authenticated，it is used related detection technology to get the quantitative evaluation of the similarity coefficient of the signature.The experiments confirm that the signature in this algorithm has robustness to the activities of preserving the audio’s content，and is sensitive to the changing of the audio，and it realizes the authentication of the audio.

摘要： 提出了一种基于音频特征的数字签名算法。将原始音频进行混沌加密，提取其小波域统计特征作为特征向量，对特征向量进行Hash生成数字签名。将数字签名利用零水印技术＂嵌入＂到原始音频中来解决数字签名的保存、管理与传递。认证时采用相关检测法来定量评价签名的相似性。实验证明，算法对保持音频内容的操作具有鲁棒性，对改变音频内容的操作具有敏感性，实现了对音频数据的认证。