Stochastic filtering and speech enhancement using a recurrent quantum neural network

@article{Behera2003StochasticFA,
  title={Stochastic filtering and speech enhancement using a recurrent quantum neural network},
  author={Laxmidhar Behera and Bharat Sundaram and Gaurav Singhal},
  journal={International Conference on Intelligent Sensing and Information Processing, 2004. Proceedings of},
  year={2003},
  pages={165-170}
}

• Laxmidhar Behera, Bharat Sundaram, Gaurav Singhal
• Published 2003 in
  International Conference on Intelligent Sensing…

This paper concerns with intelligent stochastic filtering using the recurrent quantum neural network model. The approach does not make any assumption about the nature and shape of both signal and noise. The recurrent quantum neural network (RQNN) is designed to model the unified response of a neural lattice while ignoring the individual neuronal responses. The average response of a neural lattice is described using Schrodinger wave equation. It is found that the closed loop RQNN dynamics… CONTINUE READING

Save to Library

Create Alert

Cite

View on IEEE