A novel approach to HMM-based speech recognition system using particle swarm optimization

@article{Najkar2009ANA,
  title={A novel approach to HMM-based speech recognition system using particle swarm optimization},
  author={Negin Najkar and Farbod Razzazi and Hossein Sameti},
  journal={2009 Fourth International on Conference on Bio-Inspired Computing},
  year={2009},
  pages={1-6}
}
The main core of HMM-based speech recognition systems is the Viterbi Algorithm. Viterbi is performed using dynamic programming to find out the best alignment between input speech and given speech model. In this paper, dynamic programming is replaced by a search method which is based on particle swarm optimization algorithm. The major idea is focused on generating an initial population of segmentation vectors in the solution search space and improving the location of segments by an updating… CONTINUE READING

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A novel approach to HMM-based speech recognition system using particle swarm optimization

  • N. Najkar, F. Razzazi, H. Sameti
  • in: Proceedings of IEEE International Conference…
  • 2009
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