Optimized estimation of spectral parameters for the coding of noisy speech

@article{Martin2000OptimizedEO,
  title={Optimized estimation of spectral parameters for the coding of noisy speech},
  author={R. Martin and Ingo Wittke and P. Jax},
  journal={2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)},
  year={2000},
  volume={3},
  pages={1479-1482 vol.3}
}
  • R. Martin, Ingo Wittke, P. Jax
  • Published 2000
  • Computer Science
  • 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)
  • In this contribution we optimize a speech enhancement preprocessor such that a distortion measure in the line spectral frequency (LSF) domain is minimized. We can thus improve the estimation of spectral parameters of a speech coder when the input signal to the coder is a noisy speech signal. The optimization aims at the maximum noise reduction of the enhancement preprocessor. The average maximum noise reduction characteristic is determined as a function of the speech signal SNR and is… CONTINUE READING
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