Speech processing with a Boltzmann machine
- 24 March 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 11, 721-724
- https://doi.org/10.1109/icassp.1986.1169204
Abstract
Recent work on the representation of 'knowledge' in massively parallel networks has resulted in the development of the Boltzmann Machine. In such networks, 'knowledge' is represented by the pattern and strengths of interconnections between simple processing elements. In the Boltzmann Machine noise is used to aid the search procedure in the network. Developed primarily for static image processing, Boltzmann Machines are well suited to problems that can be formulated as constraint satisfaction searches. This paper describes some simple experiments using a Boltzmann Machine to process and classify static speech patterns. Author(s) Trehern, J. University of Edinburgh, Edinburgh Jack, M.A. ; Laver, J.Keywords
This publication has 4 references indexed in Scilit:
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1984
- Optimization by Simulated AnnealingScience, 1983
- Neural networks and physical systems with emergent collective computational abilities.Proceedings of the National Academy of Sciences, 1982
- Equation of State Calculations by Fast Computing MachinesThe Journal of Chemical Physics, 1953