Noise power spectral density estimation based on optimal smoothing and minimum statistics

@article{Martin2001NoisePS,
  title={Noise power spectral density estimation based on optimal smoothing and minimum statistics},
  author={Rainer Martin},
  journal={IEEE Trans. Speech and Audio Processing},
  year={2001},
  volume={9},
  pages={504-512}
}
We describe a method to estimate the power spectral density of nonstationary noise when a noisy speech signal is given. The method can be combined with any speech enhancement algorithm which requires a noise power spectral density estimate. In contrast to other methods, our approach does not use a voice activity detector. Instead it tracks spectral minima in each frequency band without any distinction between speech activity and speech pause. By minimizing a conditional mean square estimation… CONTINUE READING

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