Estimation of Rapidly Time-Varying Harmonic Noise for Speech Enhancement

Estimation of Rapidly Time-Varying Harmonic Noise for Speech Enhancement

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....

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Veröffentlicht in:IEEE signal processing letters 2012-10, Vol.19 (10), p.659-662
Hauptverfasser: Esch, Thomas, Rungeler, Matthias, Heese, Florian, Vary, Peter
Format: Artikel
Sprache:eng
Schlagworte:
Adverse environments
Harmonic analysis
Noise measurement
Noise reduction
non-stationary noise
Signal processing algorithms
Speech enhancement
Time-frequency analysis
Time-varying systems
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creator Esch, Thomas
Rungeler, Matthias
Heese, Florian
Vary, Peter
description 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.
doi_str_mv 10.1109/LSP.2012.2211011
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subjects Adverse environments
Harmonic analysis
Noise measurement
Noise reduction
non-stationary noise
Signal processing algorithms
Speech enhancement
Time-frequency analysis
Time-varying systems
title Estimation of Rapidly Time-Varying Harmonic Noise for Speech Enhancement
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