GMM and ANN hybrid model and its application in speaker identification

Authors:
Shu-Fen Liang
Affiliations:
School of information, Wuyi University, Jiangmen, China
Venue:
ICNC'09 Proceedings of the 5th international conference on Natural computation
Year:
2009

Citing 2
Cited 0

Active Learning with Local Models

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Capture interspeaker information with a neural network for speaker identification

IEEE Transactions on Neural Networks

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Abstract

An inter-speaker information ANN(Artificial Neural Networks) method is presented, in which analyze GMM(Gaussian mixture model) speaker identification system performance, and a hybrid GMM and ANN speaker identification system is constructed. Experiments show that higher identification ratio of hybrid GMM and ANN system of speaker identification is gained than that of GMM and MLP(Multilayer Perception).