Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/91337
Title: A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system
Authors: Shao, Yu
Chang, Chip Hong
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2007
Source: Shao, Y., & Chang, C. H. (2007). A generalized time–frequency subtraction method for robust speech enhancement based on wavelet filter banks modeling of human auditory system. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 37(4), 877-889.
Series/Report no.: IEEE transactions on systems, man, and cybernetics-part B : cybernetics
Abstract: We present a new speech enhancement scheme for a single-microphone system to meet the demand for quality noise reduction algorithms capable of operating at a very low signal-tonoise ratio. A psychoacoustic model is incorporated into the generalized perceptual wavelet denoising method to reduce the residual noise and improve the intelligibility of speech. The proposed method is a generalized time–frequency subtraction algorithm, which advantageously exploits the wavelet multirate signal representation to preserve the critical transient information. Simultaneous masking and temporal masking of the human auditory system are modeled by the perceptual wavelet packet transform via the frequency and temporal localization of speech components. The wavelet coefficients are used to calculate the Bark spreading energy and temporal spreading energy, from which a time–frequency masking threshold is deduced to adaptively adjust the subtraction parameters of the proposed method. An unvoiced speech enhancement algorithm is also integrated into the system to improve the intelligibility of speech. Through rigorous objective and subjective evaluations, it is shown that the proposed speech enhancement system is capable of reducing noise with little speech degradation in adverse noise environments and the overall performance is superior to several competitive methods.
URI: https://hdl.handle.net/10356/91337
http://hdl.handle.net/10220/6027
ISSN: 1083-4419
DOI: http://dx.doi.org/10.1109/TSMCB.2007.895365
Rights: IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics © copyright 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. http://www.ieee.org/portal/site.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

Google ScholarTM

Check

Altmetric

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.