1 October 2011 Improved MFCC algorithm in speaker recognition system
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828567 (2011); doi: 10.1117/12.913462
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
In speaker recognition systems, one of the key feature parameters is MFCC, which can be used for speaker recognition. So, how to extract MFCC parameter in speech signals more exactly and efficiently, decides the performance of the system. Theoretically, MFCC parameters are used to describe the spectrum envelope of the vocal tract characteristics and often ignore the impacts of fundamental frequency. But in practice, MFCC can be influenced by fundamental frequency which can cause palpable performance reduction. So, smoothing MFCC (SMFCC), which based on smoothing short-term spectral amplitude envelope, has been proposed to improve MFCC algorithm. Experimental results show that improved MFCC parameters---SMFCC can degrade the bad influences of fundamental frequency effectively and upgrade the performances of speaker recognition system. Especially for female speakers, who have higher fundamental frequency, the recognition rate improves more significantly.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yibo Shi, Li Wang, "Improved MFCC algorithm in speaker recognition system", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828567 (1 October 2011); doi: 10.1117/12.913462; https://doi.org/10.1117/12.913462

Speaker recognition


Detection and tracking algorithms

Electronic filtering

Optical filters

Nonlinear filtering



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