Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation

@article{Elshamy2017InstantaneousAP,
  title={Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation},
  author={Samy Elshamy and Nilesh Madhu and Wouter Tirry and Tim Fingscheidt},
  journal={IEEE/ACM Transactions on Audio, Speech, and Language Processing},
  year={2017},
  volume={25},
  pages={1592-1605}
}
As the a priori signal-to-noise ratio SNR contains crucial information about a signal's mixture of speech and noise, its estimation is subject to steady research. In this paper, we introduce a novel a priori SNR estimator based on synthesizing an idealized excitation signal in the cepstral domain. Our approach utilizes a source-filter decomposition in combination with a cepstral excitation manipulation in order to recreate an idealized excitation, which is subsequently shaped by an immanent… CONTINUE READING

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