Title :
Quantum neural network in speech recognition
Author :
Li, Fei ; Zhao, Shengmei ; Zheng, Baoyu
Author_Institution :
Inst. of Signal & Inf. Process., Nanjing Univ. of Posts & Telecommun., China
Abstract :
This paper describes a new kind of neural network - quantum neural network (QNN) and its application to recognition of continuous digits. QNN combines the advantages of neural modeling and fuzzy theoretic principles. Experiment results show that more than 15% error reduction is achieved on a speaker-independent continuous digits recognition task compared with the backpropagation (BP) network.
Keywords :
fuzzy neural nets; gradient methods; optical neural nets; quantum computing; speech recognition; artificial neural networks; backpropagation network; continuous digits recognition; error reduction; fuzzy theory; gradient-descent-based algorithm; neural modeling; neurocomputing; quantum computing; quantum neural network; speaker-independent continuous digits recognition; speech recognition; training algorithm; Artificial neural networks; Computer networks; Information processing; Intelligent networks; Neural networks; Neurons; Parallel processing; Quantum computing; Quantum mechanics; Speech recognition;
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
DOI :
10.1109/ICOSP.2002.1180022
