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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/7028
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dc.contributor.authorSingh S.-
dc.contributor.authorTripathy, Manoj-
dc.contributor.authorAnand, Radhey Shyam-
dc.date.accessioned2020-10-09T04:42:12Z-
dc.date.available2020-10-09T04:42:12Z-
dc.date.issued2017-
dc.identifier.citationWireless Personal Communications (2017), 95(4): 4441-4456-
dc.identifier.issn9296212-
dc.identifier.urihttps://doi.org/10.1007/s11277-017-4094-6-
dc.identifier.urihttp://repository.iitr.ac.in/handle/123456789/7028-
dc.description.abstractIn this paper, a wavelet packet based speech enhancement system is proposed for noise reduction. In the proposed method, a modulation channel selection is used as a thresholding function for de-noising. Three levels 8 sub-band wavelet packet decomposition is used and all sub-bands are given to threshold function for noise suppression. This novel modulation channel selection is based on calculation of true signal-to-noise ratio (SNR) by thresholding with local SNR of ?7 dB. The presented method is used for noise suppression in single-channel speech patterns. Objective and subjective parameters are used for performance evaluation of this method. The performance of the proposed method is also compared with spectral subtraction, mband, mmse, test-psc, idbm, klt, and pklt. The proposed method give maximum intelligibility and quality in compared to other given methods. MATLAB 7.14 is used for simulation. © 2017, Springer Science+Business Media New York.-
dc.language.isoen_US-
dc.publisherSpringer New York LLC-
dc.relation.ispartofWireless Personal Communications-
dc.subjectSpeech enhancement-
dc.subjectSubjective and objective parameters-
dc.subjectWavelet packet-
dc.titleA Wavelet Packet Based Approach for Speech Enhancement Using Modulation Channel Selection-
dc.typeArticle-
dc.scopusid24757305000-
dc.scopusid16205441100-
dc.scopusid56363331000-
dc.affiliationSingh, S., Department of Electrical & Electronics Engineering, SRMS CET, Bareilly, India, Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India-
dc.affiliationTripathy, M., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India-
dc.affiliationAnand, R.S., Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India-
dc.description.correspondingauthorSingh, S.; Department of Electrical & Electronics Engineering, SRMS CETIndia; email: sachinsingh.iitr@gmail.com-
Appears in Collections:Journal Publications [EE]

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