Sub-nyquist audio fingerprinting for music recognition

Kaichun Chang, Solon Pissis, Jyh-Shing Jang, Costas Iliopoulos
2010 2010 2nd Computer Science and Electronic Engineering Conference (CEEC)  
In recent years, Compressive Sampling (CS), a new research topic in signal processing, has piqued interest of a wide range of researchers in different fields. In this paper, we present a sub-Nyquist Audio Fingerprinting (AF) system for music recognition, which utilizes CS theory to generate a compact audio fingerpint, and to achieve significant reduction of the dimensionality of the input signal. The presented experimental results demonstrate that by using the CS-based sub-Nyquist AF system,
more » ... quist AF system, when downsampling to 30%, the average accuracy is 93.43% under various distorted environments, compared to Nyquist sampling methods. The advantages of the proposed process lie in the comparable performance under the sub-Nyquist sampling rate, and more compact audio fingerprint.
doi:10.1109/ceec.2010.5767265 fatcat:vkrhp6wcjjgjlishfdxople7fy