Comparative Analysis of Speaker Recognition System Based on Voice Activity Detection Technique, MFCC and PLP Features

Author:

Kalia Akanksha,Sharma Shikar,Pandey Saurabh Kumar,Jadoun Vinay Kumar,Das Madhulika

Publisher

Springer Singapore

Reference13 articles.

1. Hermansky H (1990) Perceptual linear predictive (PLP) analysis of speech. J Acoust Soc Am 87(4), 1738–1752

2. Gudnason J, Brookes M, (2008) Voice source cepstrum coefficients for speaker identification. In: IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2008. IEEE, PP 4821–4824

3. Zhou X, Garcia-Romero D, Duraiswami R, Espy-Wilson C, Shamma S (2011) Linear versus mel frequency cepstral coefficients for speaker recognition, In: IEEE workshop on automatic speech recognition and understanding (ASRU). IEEE, pp 559–564

4. Maesa A, Garzia F, Scarpiniti M, Cusani R (2012) Text independent automatic speaker recognition system using mel-frequency cepstrum coefficient and gaussian mixture models. J Inf Secur 3(04):335

5. Dave N (2013) Feature extraction methods LPC, PLP and MFCC in speech recognition. Int J Adv Res Eng Technol 1(6):1–4

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