A single channel speech enhancement technique exploiting human auditory masking properties
To enhance extreme corrupted speech signals, an Improved Psychoacoustically Motivated Spectral Weighting Rule (IPMSWR) is proposed, that controls the predefined residual noise level by a time-frequency dependent parameter. Unlike conventional Psychoacoustically Motivated Spectral Weighting Rules (PM...
Main Authors: | , , |
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Format: | Article |
Language: | deu |
Published: |
Copernicus Publications
2010-10-01
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Series: | Advances in Radio Science |
Online Access: | http://www.adv-radio-sci.net/8/95/2010/ars-8-95-2010.pdf |
Summary: | To enhance extreme corrupted speech signals, an Improved Psychoacoustically
Motivated Spectral Weighting Rule (IPMSWR) is proposed, that controls the
predefined residual noise level by a time-frequency dependent parameter.
Unlike conventional Psychoacoustically Motivated Spectral Weighting Rules
(PMSWR), the level of the residual noise is here varied throughout the
enhanced speech based on the discrimination between the regions with speech
presence and speech absence by means of segmental SNR within critical bands.
Controlling in such a way the level of the residual noise in the noise only
region avoids the unpleasant residual noise perceived at very low SNRs. To
derive the gain coefficients, the computation of the masking curve and the
estimation of the corrupting noise power are required. Since the clean speech
is generally not available for a single channel speech enhancement technique,
the rough clean speech components needed to compute the masking curve are
here obtained using advanced spectral subtraction techniques. To estimate the
corrupting noise, a new technique is employed, that relies on the noise power
estimation using rapid adaptation and recursive smoothing principles. The
performances of the proposed approach are objectively and subjectively
compared to the conventional approaches to highlight the aforementioned
improvement. |
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ISSN: | 1684-9965 1684-9973 |