Computer Science ›› 2016, Vol. 43 ›› Issue (8): 297-299.doi: 10.11896/j.issn.1002-137X.2016.08.060

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New Method of Robust Voiceprint Feature Extraction and Fusion

LUO Yuan and SUN Long   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In order to promote the robustness of speaker verification system in noise circumstance,this paper improved MFCC based on auditory periphery model,finished the fusion of improved MFCC and PLPC according to the inter-cluster distinctness,obtained a new voiceprint feature and tested its robustness in noise circumstance.An experiment based on different SNR between fused feature and original feature was finished.The experimental results show that the fused feature can effectively increase the voiceprint recognition compared to MFCC and PLPC by 2.2% and 3.1% in simulated restaurant noise.

Key words: GFCC,PLP,Inter-cluster distinctness,Feature fusion,Robustness,Speaker verification

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