Improved Signal-to-Noise Ratio Estimation for Speech Enhancement

By C. Plapous, Claude Marro, P. Scalart. IEEE Transactions on Audio, Speech, and Language Processing, 2006

337 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computational Mechanics, Signal Processing

View Paper: https://www.semanticscholar.org/paper/eedbb32a9b5f7837c5aecbccb3b24d5a260f2f1b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Chanwoo Kim
2. Richard M. Stern

In Signal Processing

1. Chanwoo Kim
2. Richard M. Stern
3. Dan Hendrycks
4. Thomas G. Dietterich
5. Wei-Ning Hsu

Citations in the corpus

• Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis (2008, background): “The estimation of signal-to-noise ratios (SNRs) has been extensively investigated for decades and it is still an active field of research (e.g. [1-7]).”