Publications-Detail
Estimation of Rapidly Time-Varying Harmonic Noise for Speech Enhancement
- Authors:
- Esch, T. , Rüngeler, M. , Heese, F. , Vary, P.
- Journal:
- IEEE Signal Processing Letters
- Volume:
- 19
- Page(s):
- 659-662
- number:
- 10
- Date:
- Oct. 2012
- ISSN:
- 1070-9908
- DOI:
- 10.1109/LSP.2012.2211011
- Language:
- English
Abstract
Robust speech enhancement relies on the estimation of stationary as well as non-stationary background noise. This contribution presents a novel approach for estimating the short-term power spectral densities (ST-PSDs) of rapidly time-varying harmonic noise as produced, e.g., by cars or motorcycles. The well-known Minimum Statistics algorithm is modified by frequency warping controlled by the fundamental frequency of the harmonic noise which is assumed to be known a priori. The resulting noise estimates are used for the enhancement of the noisy signal. A detailed description of the algorithm is given and it is shown by a thorough analysis that the new solution considerably outperforms two conventional noise ST-PSD estimation techniques.Download
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