NDLI: Dual-channel speech enhancement with auditory spectrum based constraints

Content Provider	IEEE Xplore Digital Library
Author	Nandkumar, S. Hansen, J.H.L.
Copyright Year	1992
Description	Author affiliation: Dept. of Electr. Eng., Duke Univ., Durham, NC, USA (Nandkumar, S.; Hansen, J.H.L.)
Abstract	A frequency-domain, constrained iterative Wiener filtering algorithm is proposed for dual-channel speech enhancement. The iterative algorithm is shown to follow the expectation-maximization (EM) maximum likelihood estimation (MLE) technique. Constraints are applied over time and iteration on the MLE-cepstral parameters which parametrize an auditory spectrum. The constraints are adapted to changing speech characteristics over time with the aid of a speech boundary detector. The dual-channel algorithm is implemented using experimentally determined correlation functions between the two channels. Results from speech degraded by additive white Gaussian noise and actual aircraft cockpit noise are presented. Objective quality measures show improvement when compared to unconstrained dual-channel Wiener filter over a range of SNR and cross-talk levels. Time waveforms and frame-to-frame distance measures show good improvement, especially in unvoiced and transitional regions of speech. Distance measures over individual phonemes from a subset of the NIST/TIMIT database degraded with additive white Gaussian noise (AWGN) show consistent and superior quality improvement.<>
Starting Page	297
Ending Page	300
File Size	407268
Page Count	4
File Format	PDF
ISBN	0780305329
ISSN	15206149
DOI	10.1109/ICASSP.1992.225913
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-03-23
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech enhancement Iterative algorithms Additive white noise Wiener filter Maximum likelihood estimation Degradation AWGN Filtering algorithms Detectors Aircraft
Content Type	Text
Resource Type	Article

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