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Hybrid of Neural Networks and Hidden Markov Models as a modern approach to speech recognition systems
Abstract
The aim of this paper is to present a hybrid algorithm that combines the advantages ofartificial neural networks and hidden Markov models in speech recognition for control purpos-es. The scope of the paper includes review of currently used solutions, description and analysis of implementation of selected artificial neural network (NN) structures and hidden Markov mod-els (HMM). The main part of the paper consists of a description of development and implementation of a hybrid algorithm of speech recognition using NN and HMM and presentation of verification of correctness results.
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- Category:
- Articles
- Type:
- artykuły w czasopismach recenzowanych i innych wydawnictwach ciągłych
- Published in:
-
Pomiary Automatyka Robotyka
pages 449 - 455,
ISSN: 1427-9126 - Language:
- English
- Publication year:
- 2013
- Bibliographic description:
- Sokólski P., Rutkowski T.: Hybrid of Neural Networks and Hidden Markov Models as a modern approach to speech recognition systems// POMIARY - AUTOMATYKA - ROBOTYKA. -., nr. 2 (2013), s.449-455
- Verified by:
- Gdańsk University of Technology
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