Blind Source Separation for a Robust Audio Recognition Scheme in Multiple Sound-Sources Environment
Wei Hong Han, Songbin Zhou, Chang Li, Yisen Liu, Zhe Liu · 2015
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.