Abstract
One of the factors complicating activity with speech signals is its large degree of acoustic variability. To decrease influence of acoustic variability of speech signals, it is offered to use genetic algorithms in speech processing systems. We constructed a program model which implements the technology of speech recognition using genetic algorithms. We made experiments on our program model with a database of separated Belarussian words and achieve optimal results.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Jelinek F Распознавание непрерывнои реци статистицескими методами. ТИИЭР, 1976, vol. 64 No. 4, pp. 131–161, (in Russian).
Lawrence Robber and Biing-Hawing Jung. Fundamentals of Speech Recognition. PTR Prentice-Hall Inc, Englewood Cliff, 1993.
Hero, A. Bourland and Nelson Morgan. Connectionist Speech Recognition: A Hybrid Approach. Kluwer Academic Publishers, Boston MA, 1994.
E.I. Bovbel, P.P. Tkachova, and I.E. Kheidorov. The usage of hidden Markov models based on autoregressive principles for isolated word recognition. Proc. of. SPIE 13th Annual Intern. Symposium AeroSense, vol. 3720, April 5–9, 1999, Orlando, Florida, USA.
E.I. Bovbel, P.P. Tkachova, and I.E. Kheidorov. The analysis of speaker individual features based on autoregressive hidden Markov models. Proc. of Eurospeech’99, Budapest, Hungary, September 22–26, 1999.
E. Michielssen, Y. Rahmat-Samii and D.S. Weile. Electromagnetic systems design using genetic algorithms. Modern Radio Science. Oxford University Press. pp. 91–123.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bovbel, E.I., Tsishkou, D.V. (2000). Belarussian Speech Recognition Using Genetic Algorithms. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2000. Lecture Notes in Computer Science(), vol 1902. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45323-7_51
Download citation
DOI: https://doi.org/10.1007/3-540-45323-7_51
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41042-3
Online ISBN: 978-3-540-45323-9
eBook Packages: Springer Book Archive