Digital Speech Recognition Based on DDBHMM

Abstract

Digital speech recognition technology has a very high recognition rate and is valuable in application.In order to implement a digit speech recognition system with a high recognition rate in real environment,experiments of speaker dependent and independent digit speech recognition based on DDBHMM(Duration Distribution Based on Hidden Markov Model) are carried out to test the performance of digit speech under the clear and nonstationary noisy environment respectively.Experiment results show that the algorithm based on the DDBHMM has a high recognition rate for speaker dependent and independent digit recognition on the speech database recorded under the real non-stationary noisy environments.

Cite this paper

@article{xiao2010digital,
  title = {{Digital Speech Recognition Based on DDBHMM}},
  author = {Xiao, Xi},
  journal = {Audio Engineering},
  year = {2010}
}

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