Audio Quality-Based Authentication Using Wavelet Packet Decomposition and Best Tree Selection

High quality editing and processing of audio signals make authentication increasingly important for secure applications. This paper proposes an effective algorithm for quality-based soft music authentication using wavelet packet decomposition and entropy-based best subtree selection, under the circumstance of general entertainment application. Experimental results show that in the sense of perceptual evaluation of audio quality (PEAQ), most audio manipulations except MP3 compression at all bit rates are non quality-preserving since they introduce various special auditory effects. This algorithm also demonstrates good ability of recognizing malicious operations like random cropping and tampering.