Blind Source Separation for a Robust Audio Recognition Scheme in Multiple Sound-Sources Environment

Abstract

Abstract-In multiple sound-sources environment, robustness is a major challenge for audio recognition system based on audio fingerprinting, because mixed audio signals may make recognition rate has a significant decline. This paper proposes a novel audio fingerprinting method, which uses blind source separation to divide mixed audio signals into independent components and each is close to its original sound-source, then the classical Philips scheme can perform accurately identifying. Experimental results show that novel scheme is quite robust in noisy conditions where uncertain audio signals mixed by various numbers of sound-source, even though the feature of each original sound-source and their mixed model are unknown.