Name
Abstract | ||
|---|---|---|
The derivation of MMSE estimators for the DFT coefficients of speech signals, given an observed noisy signal and super-Gaussian prior distributions, has received a lot of interest recently. In this letter, we look at the distribution of the periodogram coefficients of different phonemes, and show that they have a gamma distribution with shape parameters less than one. This verifies that the DFT co... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/LSP.2013.2242467 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Speech,Hidden Markov models,Discrete Fourier transforms,Speech enhancement,Shape,Noise,Signal processing algorithms | Speech enhancement,Exponential function,Pattern recognition,Gaussian,Artificial intelligence,Gamma distribution,Prior probability,Hidden Markov model,Mathematics,Linear predictive coding,Estimator | Journal |
Volume | Issue | ISSN |
20 | 3 | 1070-9908 |
Citations | PageRank | References |
15 | 0.68 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nasser Mohammadiha | 1 | 214 | 12.91 |
| Rainer Martin | 2 | 1029 | 91.14 |
| Arne Leijon | 3 | 461 | 24.91 |