Mostra el registre d'ítem simple

dc.contributor.authorBallesteros, D.M.L.
dc.contributor.authorMoreno Aróstegui, Juan Manuel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2018-05-23T16:52:34Z
dc.date.issued2012-11-15
dc.identifier.citationBallesteros, D., Moreno, J. On the ability of adaptation of speech signals and data hiding. "Expert systems with applications", 15 Novembre 2012, vol. 39, núm. 16, p. 12574-12579.
dc.identifier.issn0957-4174
dc.identifier.urihttp://hdl.handle.net/2117/117439
dc.description.abstractThe efficient wavelet masking is a scheme of speech-in-speech hiding based on the ability of adaptation of speech signals under the hypothesis “any (speech) secret signal may seem similar to a (speech) host signal if its wavelet coefficients are sorted” (Ballesteros L & Moreno A, 2012). In this paper, we delimitate the conditions under which the above hypothesis is true, as follows: (i) the secret and host signals must belong to legible voice signals, (ii) both signals must have the same sampling frequency, (iii) both signals must have the same time-frame, and finally (iv) the ratio between the non-zero coefficients of them should be in the interval [0.8 1.2]. Experimental tests were conducted to demonstrate the hypothesis on different cases: vowel to vowel, message to message and vowel & message, in three languages: English, French, and German. The parameter used to measure the similarity between the adapted secret message and the host signal is the squared Pearson correlation coefficient, r2. The results demonstrate that the hypothesis is true under the theoretical conditions because in all the test cases r2 was closed to 1 and the p-value was lower than 0.05.
dc.format.extent6 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject.lcshAutomatic speech recognition
dc.subject.otherSpeech signal
dc.subject.otherAbility of adaptation
dc.subject.otherData hiding
dc.subject.otherDiscrete wavelet transform
dc.subject.otherSquared Pearson correlation coefficient
dc.titleOn the ability of adaptation of speech signals and data hiding
dc.typeArticle
dc.subject.lemacReconeixement automàtic de la parla
dc.contributor.groupUniversitat Politècnica de Catalunya. AHA - Arquitectures Hardware Avançades
dc.identifier.doi10.1016/j.eswa.2012.05.027
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S0957417412007257
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac10804970
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorBallesteros, D.; Moreno, J.
local.citation.publicationNameExpert systems with applications
local.citation.volume39
local.citation.number16
local.citation.startingPage12574
local.citation.endingPage12579


Fitxers d'aquest items

Imatge en miniatura

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple