Robust Speaker Recognition in Noisy Environment
Bo Xu · Zhongwen xinxi xuebao · 2006
Speaker recognition(SR) has got excellent result in clean speech.However,the effects of noises or channel mismatch can cause significant performance degradation in practical appliance.The focus of this paper is to address those problems related to robust and efficient speaker identification(SI) in noise environment.The main contributions center around two areas that include signal processing based on Wiener filtering and speaker features integration of F0 and MFCC.The experimental results on YOHO corpus show that Wiener filter is an efficient front-end processing technique and F0 is a robust feature for SR in noise environments.The performance has improved 20% above baseline system.