Name
Abstract | ||
|---|---|---|
A new method for removing impulse noise from speech in the wavelet transform domain is proposed. The method utilizes the multi-resolution property of the wavelet transform, which provides finer time resolution at the higher frequencies than the short-time Fourier transform (STFT), to effectively identify and remove impulse noise. It uses two features of speech to discriminate speech from impulse noise: one is the slow time-varying nature of speech and the other is the Lipschitz regularity of the speech components. On the basis of these features, an algorithm has been developed to identify and suppress wavelet coefficients that correspond to impulse noise. Experiment results show that the new method is able to significantly reduce impulse noise without degrading the quality of the speech signal or introducing any audible artifacts. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICASSP.2008.4517929 | international conference on acoustics, speech, and signal processing |
Keywords | Field | DocType |
Fourier transforms,impulse noise,signal denoising,signal resolution,speech enhancement,speech processing,wavelet transforms,Lipschitz regularity,multi-resolution property,short-time Fourier transform,speech impulse noise removal,time resolution,time-varying speech,wavelet coefficients,wavelet transform,impulsive noise removal,speech enhancement,transient removal,wavelets | Speech enhancement,Speech processing,Pattern recognition,Computer science,Short-time Fourier transform,Speech recognition,Artificial intelligence,Discrete wavelet transform,Impulse noise,Finite impulse response,Wavelet,Wavelet transform | Journal |
Volume | ISSN | ISBN |
abs/1310.7447 | 1520-6149 E-ISBN : 978-1-4244-1484-0 | 978-1-4244-1484-0 |
Citations | PageRank | References |
13 | 1.01 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajeev C. Nongpiur | 1 | 57 | 7.06 |