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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/17156
Title: Wavelet packet based multiple noises suppression in single channel speech using binary mask threshold
Authors: Singh S.
Tripathy, Manoj
Anand, Radhey Shyam
Published in: Proceedings of 2014 International Conference on Signal Propagation and Computer Technology, ICSPCT 2014
Abstract: This paper presents a comparative evaluation of various mother wavelets for reduction of mixed highly non-stationary noises to increase the quality and intelligibility in single channel speech. A binary mask function is used for thresholding in noisy wavelet packet coefficients. For speech signal decomposition, various mother wavelets (such as Daubechies13 and 40, Symlet2 and 8, Coiflet1 and 5, Bior 1.1 and 6.8, rbio 1.1 and 6.8) are used and results are compared in terms of performance measure parameters like SNR, PESQ, and Cepstral Distance. The performance comparison of above mentioned mother wavelets, the binary mask thresholding function with Coiflet 1 mother wavelet transform is showing good results. The algorithms were implemented in MATLAB 7.1. © 2014 IEEE.
Citation: Proceedings of 2014 International Conference on Signal Propagation and Computer Technology, ICSPCT 2014, (2014), 456- 460. Ajmer
URI: https://doi.org/10.1109/ICSPCT.2014.6884972
http://repository.iitr.ac.in/handle/123456789/17156
Issue Date: 2014
Publisher: IEEE Computer Society
Keywords: Binary mask Threshold
Mother Wavelet packets
Speech Enhancement
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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