Name
Abstract | ||
|---|---|---|
This paper addresses the problem of single microphone speech enhancement in noisy environments. Common short-time noise reduction techniques introduce harmonic distortion in enhanced speech because of the non reliability of estimators for small signal-to-noise ratios. We propose a new method called Harmonic Regeneration Noise Reduction technique which solves this problem. A fully harmonic signal is calculated based on the distorted signal using a non-linearity to regenerate harmonics in an efficient way. This artificial signal is then used to compute a suppression gain able to preserve the speech harmonics. This method is theoretically analyzed. then objective and formal subjective results are Given and show a significant improvement compared to classical noise reduction techniques. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ICASSP.2005.1415074 | ICASSP '05). IEEE International Conference |
Keywords | Field | DocType |
acoustic noise,harmonic distortion,harmonic generation,random noise,signal denoising,speech enhancement,SNR,harmonic distortion,harmonic regeneration noise reduction technique,harmonics regeneration,noisy environments,nonlinearity,signal-to-noise ratio,single microphone speech enhancement | Noise,Speech enhancement,Noise reduction,Total harmonic distortion,Computer science,Signal-to-noise ratio,Harmonic,Speech recognition,Harmonics,Microphone | Conference |
Volume | ISSN | ISBN |
1 | 1520-6149 | 0-7803-8874-7 |
Citations | PageRank | References |
18 | 1.49 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cyril Plapous | 1 | 18 | 1.49 |
| Claude Marro | 2 | 50 | 6.40 |
| Pascal Scalart | 3 | 925 | 283.73 |