Quantum BP Neural Network for speech enhancement

Author

Li, Fei ; Xu, Guobiao

Author_Institution

Institue of Signal Process. & Transm., Nanjing Univ. of Posts & Telecommun., Nanjing, China

Volume

2

fYear

2009

fDate

28-29 Nov. 2009

Firstpage

389

Lastpage

392

Abstract

Quantum Neural Network (QNN), a burgeoning new field which integrates quantum computation with classical neural network, can improve the inadequacies of artificial neural network. A model of quantum neuron and Quantum Back Propagation (BP) Neural Network based on quantum neuron are investigated. A novel approach toward speech enhancement which adopts Quantum BP Neural Network is proposed. The numerical simulation results show that the proposed speech enhancement scheme resulted in better performance than traditional spectral subtraction, Wiener filtering method and RBF neural network.

Keywords

backpropagation; neural nets; quantum computing; speech enhancement; RBF neural network; Wiener filtering; artificial neural network; quantum BP neural network; quantum backpropagation neural network; quantum computation; quantum neural network; quantum neuron; spectral subtraction; speech enhancement; Artificial neural networks; Computer networks; Electronic mail; Neural networks; Neurons; Numerical simulation; Quantum computing; Signal processing algorithms; Speech enhancement; Wiener filter; Back Propagation; Quantum Computation; Quantum Neural Network; Speech Enhancement;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4606-3

Type

conf

DOI

10.1109/PACIIA.2009.5406577

Filename

5406577