DocumentCode
2853793
Title
GMM and ANN Hybrid Model and its Application in Speaker Identification
Author
Shu-fen Liang
Author_Institution
Sch. of Inf., Wuyi Univ., Jiangmen, China
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
159
Lastpage
163
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).
Keywords
Gaussian processes; neural nets; speaker recognition; Gaussian mixture model; artificial neural network; interspeaker information; speaker identification; Artificial neural networks; Computer networks; Information analysis; Neural networks; Performance analysis; Speaker recognition; Speech recognition; Statistics; System performance; Testing; ANN (Artificial neural networks); GMM (Gaussian mixture model); Inter-speaker information; Speaker identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.535
Filename
5365566
Link To Document