Performance Evaluation of PBDP Based Real-Time Speaker Identification System with Normal MFCC vs MFCC of LP Residual Features

Author(s):  
Soma Khan ◽  
Joyanta Basu ◽  
Milton Samirakshma Bepari

Nowadays, the real-time speaker recognition system is very popular due to its cost-effective nature. However, it is a very challenging one to produce a more efficient speaker identification system. In our work, we work on a multi-lingual real-time speaker identification system. We work in a novel way to enhance the efficiency of the said system. We take some real speech signals and use different speech enhancement methods and our proposed voice activity method (VAD) to enhance the efficiency of said system. By doing so, we increase the accuracy of the said system relatively by 2% as compared to existing methods.


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