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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17158
Title: A fuzzy mask based on wavelet packet for improving speech quality and intelligibility
Authors: Singh S.
Tripathy, Manoj
Anand, Radhey Shyam
Published in: Proceedings of 2014 International Conference on Signal Processing and Integrated Networks, SPIN 2014
Abstract: In this letter, a novel fuzzy mask based on wavelet is introduced for improving speech quality and intelligibility. The proposed fuzzy mask is based on wavelet's soft and hard threshold limits to retain the time frequency (T-F) units of the enhanced spectrum. In contrast to prior methods, the proposed fuzzy mask approach eliminates the need of true speech spectrum to obtain a binary mask. Speech spectrum is degraded at signal-to-noise (SNR) levels (0, 5, and 10 dB) in babble, and pink, noise environments. Objective and subjective parameters MOS and PESQ indicated significant improvements over other related and binary mask methods. © 2014 IEEE.
Citation: Proceedings of 2014 International Conference on Signal Processing and Integrated Networks, SPIN 2014, (2014), 1- 4. Noida
URI: https://doi.org/10.1109/spin.2014.6776910
http://repository.iitr.ac.in/handle/123456789/17158
Issue Date: 2014
Publisher: IEEE Computer Society
Keywords: Fuzzy mask
Speech enhancement
Speech intelligibility
Wavelet transform
ISBN: 9.78E+12
Author Scopus IDs: 24757305000
16205441100
56363331000
Author Affiliations: Singh, S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee - 247 667, Uttarakhand, India
Tripathy, M., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee - 247 667, Uttarakhand, In
Appears in Collections:Conference Publications [EE]

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