Adaptive short-time analysis-synthesis for speech enhancement

In this paper we present a new adaptive short-time Fourier analysis-synthesis scheme and demonstrate its efficacy in speech enhancement. While a number of adaptive analyses have previously been proposed to overcome the limitations of fixed-resolution schemes, we propose here a modified overlap-add p...

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Bibliographic Details
Main Authors: Rudoy, D., Basu, P., Quatieri, T.F., Dunn, B., Wolfe, P.J.
Format: Conference Proceeding
Language:English
Subjects:
Acoustic noise
adaptive segmentation
Analysis-synthesis
filterbanks
Length measurement
Noise reduction
Signal analysis
Signal resolution
Signal to noise ratio
Speech analysis
Speech enhancement
Time frequency analysis
Time measurement
time-frequency concentration
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Summary:In this paper we present a new adaptive short-time Fourier analysis-synthesis scheme and demonstrate its efficacy in speech enhancement. While a number of adaptive analyses have previously been proposed to overcome the limitations of fixed-resolution schemes, we propose here a modified overlap-add procedure that enables efficient resynthesis. Our adaptation scheme extends earlier work using local measures of time-frequency concentration, and is applicable to power spectral density estimation for the case of noisy speech. We provide evidence of increased gains in signal-to-noise ratios for synthetic signals as well as empirical evidence of reduced musical noise based on expert listening tests for voiced and phonetically balanced utterances observed in noise, relative to a standard baseline speech enhancement system whose time-frequency resolution is fixed.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2008.4518757