Name
Title | ||
|---|---|---|
Probabilistic Class Histogram Equalization Based on Posterior Mean Estimation for Robust Speech Recognition |
Abstract | ||
|---|---|---|
In this letter, we propose a new probabilistic class histogram equalization technique for noise robust speech recognition. To cope with the sparse data problem which is common in the case of short test data, the proposed histogram equalization technique employs the posterior mean estimator, a kind of the Bayesian estimator, for test CDF. Experiments on the Aurora-4 framework showed that the propos... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LSP.2015.2490202 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Histograms,Automatic speech recognition,Robustness,Bayes methods,Maximum likelihood estimation | Entropy estimation,Histogram,Pattern recognition,Histogram matching,Speech recognition,Adaptive histogram equalization,Artificial intelligence,Estimation theory,Maximum likelihood sequence estimation,Histogram equalization,Mathematics,Estimator | Journal |
Volume | Issue | ISSN |
22 | 12 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-joo Suh | 1 | 478 | 58.07 |
| Hoi-Rin Kim | 2 | 102 | 20.64 |