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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17158
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dc.contributor.authorSingh S.-
dc.contributor.authorTripathy, Manoj-
dc.contributor.authorAnand, Radhey Shyam-
dc.date.accessioned2020-12-02T14:29:09Z-
dc.date.available2020-12-02T14:29:09Z-
dc.date.issued2014-
dc.identifier.citationProceedings of 2014 International Conference on Signal Processing and Integrated Networks, SPIN 2014, (2014), 1- 4. Noida-
dc.identifier.isbn9.78E+12-
dc.identifier.urihttps://doi.org/10.1109/spin.2014.6776910-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/17158-
dc.description.abstractIn 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.-
dc.language.isoen_US-
dc.publisherIEEE Computer Society-
dc.relation.ispartofProceedings of 2014 International Conference on Signal Processing and Integrated Networks, SPIN 2014-
dc.subjectFuzzy mask-
dc.subjectSpeech enhancement-
dc.subjectSpeech intelligibility-
dc.subjectWavelet transform-
dc.titleA fuzzy mask based on wavelet packet for improving speech quality and intelligibility-
dc.typeConference Paper-
dc.scopusid24757305000-
dc.scopusid16205441100-
dc.scopusid56363331000-
dc.affiliationSingh, S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee - 247 667, Uttarakhand, India-
dc.affiliationTripathy, M., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee - 247 667, Uttarakhand, In-
dc.identifier.conferencedetails1st International Conference on Signal Processing and Integrated Networks, SPIN 2014, Noida, 20-21 February 2014-
Appears in Collections:Conference Publications [EE]

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