Novel Audio Mosaic Using LPC-Coefficient and Excitation-Codeword Permutations
Publication Date
1-1-2024
Document Type
Article
Publication Title
IEEE Signal Processing Letters
Volume
31
DOI
10.1109/LSP.2024.3417328
First Page
1690
Last Page
1694
Abstract
In this letter, a novel light-weight audio mosaic scheme using permutations of linear predictive coding (LPC) coefficients as LPC has been widely adopted in many audio codecs (coder-encoders) nowadays. We establish the theoretical secrecy analysis with respect to the degree of the original LPC polynomial and the minimum-phase population of permuted LPC polynomials. The mosaic (destructuring) performance in terms of DCT-KLD (Kullback-Leibler divergence of discrete cosine transform) is also evaluated through simulations. In comparison with the existing audio-mosaic method using waveform permutations, our proposed new audio-mosaic scheme using LPC-coefficient permutations can achieve a much better mosaic performance (a much higher DCT-KLD) subject to the same key size.
Keywords
Audio mosaic, Kullback-Leibler divergence of discrete cosine transform (DCT-KLD), linear predictive coding (LPC)
Department
Applied Data Science
Recommended Citation
Morris C.H. Tsai, Hsiao Chun Wu, Scott C.H. Huang, and Shih Yu Chang. "Novel Audio Mosaic Using LPC-Coefficient and Excitation-Codeword Permutations" IEEE Signal Processing Letters (2024): 1690-1694. https://doi.org/10.1109/LSP.2024.3417328
