Speech steganography using wavelet and Fourier transforms

dc.contributor.authorRekik, Siwar
dc.contributor.authorGuerchi, Driss
dc.contributor.authorSelouani, Sid-Ahmed
dc.contributor.authorHamam, Habib
dc.date.accessioned2020-01-30T07:52:14Z
dc.date.available2020-01-30T07:52:14Z
dc.date.copyright2012en_US
dc.date.issued2012
dc.descriptionThis article is licensed under Creative Commons License and full text is openly accessible in CUD Digital Repository. The version of the scholarly record of this article is published in Eurasip Journal on Audio, Speech, and Music Processing (2012), accessible online through this link https://doi.org/10.1186/1687-4722-2012-20.en_US
dc.description.abstractA new method to secure speech communication using the discrete wavelet transforms (DWT) and the fast Fourier transform is presented in this article. In the first phase of the hiding technique, we separate the speech high-frequency components from the low-frequency components using the DWT. In a second phase, we exploit the low-pass spectral proprieties of the speech spectrum to hide another secret speech signal in the low-amplitude high-frequency regions of the cover speech signal. The proposed method allows hiding a large amount of secret information while rendering the steganalysis more complex. Experimental results prove the efficiency of the proposed hiding technique since the stego signals are perceptually indistinguishable from the equivalent cover signal, while being able to recover the secret speech message with slight degradation in the quality. © 2012 Rekik et al.; licensee Springer.en_US
dc.identifier.citationRekik, S., Guerchi, D., Selouani, S.-A., & Hamam, H. (2012). Speech steganography using wavelet and Fourier transforms. Eurasip Journal on Audio, Speech, and Music Processing, 2012(1). https://doi.org/10.1186/1687-4722-2012-20en_US
dc.identifier.issn16874714
dc.identifier.urihttp://dx.doi.org/10.1186/1687-4722-2012-20
dc.identifier.urihttps://hdl.handle.net/20.500.12519/84
dc.language.isoenen_US
dc.publisherSpringer Nature Switzerland AGen_US
dc.relationAuthors Affiliations: Rekik, S., Université de Bretagne Occidentale, Brest, France, Canadian University of Dubai, Dubai, United Arab Emirates; Guerchi, D., Canadian University of Dubai, Dubai, United Arab Emirates; Selouani, S.-A., University of Moncton, Shippagan, NB, Canada; Hamam, H., University of Moncton, Moncton, NB, Canada
dc.relation.ispartofseriesEurasip Journal on Audio, Speech, and Music Processing;Vol. 2012, no. 1
dc.rightsCreative Commons Attribution 2.0 International License
dc.rights.holderCopyright : 2012 Rekik et al.; licensee Springer.
dc.rights.urihttps://creativecommons.org/licenses/by/2.0/
dc.subjectAudio steganographyen_US
dc.subjectData hidingen_US
dc.subjectHigh frequency componentsen_US
dc.subjectHigh frequency HFen_US
dc.subjectLow-amplitudeen_US
dc.subjectLow-frequency componenten_US
dc.subjectLow-passen_US
dc.subjectSecond phaseen_US
dc.subjectSecret informationen_US
dc.subjectSpeech signalsen_US
dc.subjectSpeech spectraen_US
dc.subjectSteganalysisen_US
dc.subjectFast Fourier transformen_US
dc.subjectSteganographyen_US
dc.subjectDiscrete wavelet transformsen_US
dc.titleSpeech steganography using wavelet and Fourier transformsen_US
dc.typeArticleen_US

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