Title :
An embedded voiceprint recognition system based on GMM
Author :
Jian, Mao ; Yongmei, Li
Author_Institution :
College of Electronic Science and Engineering National University of Defense Technology Changsha, China
Abstract :
Gaussian mixture model (GMM) is a kind of probability and statistics model attracted much attention for its scalability and effectiveness, which is considered to be a suitable modeling algorithm for voiceprint recognition. The process of voiceprint recognition with GMM is introduced in this paper. And an embedded voiceprint recognition system is designed for the intelligent control. The experiment demonstrates the performance of algorithm and system.
Keywords :
Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Spectrogram; Speech; Speech recognition; Testing; GMM; Voiceprint; embedded system; recognition;
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
DOI :
10.1109/ICCSE.2015.7250214
