Automatic Speaker Recognition Using Mel-Frequency Cepstral Coefficients Through Machine Learning

Author:

Ayvaz Uğur,Gürüler Hüseyin,Khan Faheem,Ahmed Naveed,Whangbo Taegkeun,Akmalbek Bobomirzaevich Abdusalomov

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Reference29 articles.

1. Real time speaker recognition system using MFCC and vector quantization technique;Bharti;International Journal of Computer Applications,2015

2. Deep neural networks for acoustic modeling in speech recognition: The shared views of four research groups;Geoffrey;IEEE Signal Processing Magazine,2012

3. Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences;Davis;IEEE Transactions on Acoustics Speech and Signal Processing,1980

4. Speaker identification and verification using vector quantization and mel frequency cepstral coefficients;Srinivasan;Engineering and Technology,2012

5. MFCC and its applications in speaker recognition;Tiwari;International Journal on Emerging Technologies,2010

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