Text-Independent Speaker Recognition in Clean and Noisy Backgrounds Using Modified VQ-LBG Algorithm

Speaker recognition is the process of identifying the proper speaker by analyzing the spectral shape of the speech signal. This process is done by extracting the desired features and matching the features of the speech signal. In this paper, we adopted the Mel frequency cepstrum coefficient (MFCC) t...

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Veröffentlicht in:	Circuits, systems, and signal processing Jg. 38; H. 6; S. 2810 - 2828
Hauptverfasser:	Mallikarjunan, M., Karmali Radha, P., Bharath, K. P., Muthu, Rajesh Kumar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2019 Springer Nature B.V
Schlagworte:	Algorithms Circuits and Systems Covariance Electrical Engineering Electronics and Microelectronics Engineering Feature extraction Instrumentation Matching Probabilistic models Signal processing Signal,Image and Speech Processing Speech recognition Vector quantization Feature extraction MFCC Modified VQ-LBG GMM–UBM
ISSN:	0278-081X, 1531-5878
Online-Zugang:	Volltext
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