Abstract
Digital audio has been ubiquitous over the past decade. Since it can be easily modified by editing tools, there has been a strong need to protect its content for secure multimedia applications. Previous audio authentication algorithms are mainly focused on either human speech or general audio with music as part of the test data, while special research on music authentication has been somewhat neglected. In this article, we propose a novel algorithm to protect the integrity and authenticity of music signals. Its main contributions include the following: (1) Music is segmented into beat-based frames, which not only endows the authentication units with more semantic meaning but also perfectly resolves the challenging synchronization problem. (2) Robust hashes are generated from chroma-based mid-level audio feature which can appropriately characterize the music content and integrated with an encryption procedure to ensure the security against malicious block-wise vector quantization attack. (3) Fuzzy logic is adopted to make the authentication decision in the light of three measures defined on bit errors, coinciding with the inherent blurred nature of authentication. The experiments exhibit good discriminative ability between admissible and malicious operations.
Highlights
Modern audio editing and processing tools make highquality forgery pretty easy and convenient
The test dataset is composed of 344 Chinese popular songs, and their 25,456 legitimately and maliciously modified copies are used for testing the authentication performance
AuthRatio is adopted as the authentication measure in accordance with the aforementioned fuzzy classification methodology
Summary
Modern audio editing and processing tools make highquality forgery pretty easy and convenient. Judging the authenticity and integrity of audio data by human perception alone is far from enough, tamper detection is increasingly essential to secure audio applications. Traditional data authentication in cryptography does not permit any change of the binary bit stream; this is not suitable for audio data which can be equivalently represented in various formats without perceptible distinction. Audio authentication which is aimed at effectively protecting the perceptual authenticity and integrity of audio has become an emerging technique in recent years. It ensures that the received audio signal was not maliciously changed by a third party during the course of transmission, that is, the received and the original audio signals are the same in the sense of human auditory perception
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More From: EURASIP Journal on Audio, Speech, and Music Processing
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