ISCA Archive Eurospeech 2001
ISCA Archive Eurospeech 2001

Speech enhancement based on IMM with NPHMM

Yunjung Lee, Joohun Lee, Ki Yong Lee, Katsuhiko Shirai

The nonlinear speech enhancement method with interactive parallel-extended Kalman filter is applied to speech contaminated by additive white noise. To represent the nonlinear and nonstationary nature of speech, we assume that speech is the output of a nonlinear prediction HMM (NPHMM) combining both neural network and HMM. The NPHMM is a nonlinear autoregressive process whose time-varying parameters are controlled by a hidden Markov chain. The simulation results shows that the proposed method offers better performance gains relative to the previous results [6] with slightly increased complexity.


doi: 10.21437/Eurospeech.2001-443

Cite as: Lee, Y., Lee, J., Lee, K.Y., Shirai, K. (2001) Speech enhancement based on IMM with NPHMM. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1875-1878, doi: 10.21437/Eurospeech.2001-443

@inproceedings{lee01d_eurospeech,
  author={Yunjung Lee and Joohun Lee and Ki Yong Lee and Katsuhiko Shirai},
  title={{Speech enhancement based on IMM with NPHMM}},
  year=2001,
  booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
  pages={1875--1878},
  doi={10.21437/Eurospeech.2001-443}
}