Text-independent speaker recognition using neural networks

@article{Hattori1992TextindependentSR,
  title={Text-independent speaker recognition using neural networks},
  author={Hiroaki Hattori},
  journal={[Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  year={1992},
  volume={2},
  pages={153-156 vol.2}
}
A text-independent speaker recognition method using predictive neural networks is described. The speech production process is regarded as a nonlinear process, so the speaker individuality in the speech signal also includes nonlinearity. Therefore, the predictive neural network, which is a nonlinear prediction model based on multilayer perceptrons, is expected to be a more suitable model for representing speaker individuality. For text-independent speaker recognition, an ergodic model which… CONTINUE READING

Results and Topics from this paper.

Key Quantitative Results

  • The proposed method gave the highest recognition accuracy of 100.0% and the effectiveness of the predictive neural networks for representing speaker individuality was clarified.<<ETX>>.

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