Name
Abstract | ||
|---|---|---|
In this paper, we investigate the use of the autoregressive conditional heteroscedasticity (ARCH) model as a replacement to the decision-directed method in the log-spectral amplitude estimator for speech enhancement. We employ three sound quality measures: speech distortion, noise reduction and musical noise, and explain the effect the ARCH model parameters have on these measures. We demonstrate and compare the use of the decision-directed and ARCH estimators and show that the ARCH model achieves better results than the decision-directed for some of these measures, while compromising between the speech distortion and noise reduction. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IWAENC.2016.7602961 | 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC) |
Keywords | Field | DocType |
Speech Enhancement,Time-frequency analysis,Musical noise,Noise reduction,ARCH | Noise reduction,Speech enhancement,Value noise,Arch,Autoregressive model,Noise measurement,Computer science,Speech recognition,Distortion,Estimator | Conference |
ISBN | Citations | PageRank |
978-1-5090-2008-9 | 0 | 0.34 |
References | Authors | |
6 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aviva Atkins | 1 | 0 | 0.68 |
| Israel Cohen | 2 | 144 | 14.80 |