Time sample speech scrambler which does not require synchronization

Huang, F.; Stansfield, E.V.

doi:10.1109/26.241752

Cited by 8 publications

(2 citation statements)

References 5 publications

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“…The scrambling techniques could be classified as time-domain and frequency-domain scrambling. In time-domain scrambling, speech signals are divided into small time interval units and these units are permuted [1][2][3].As these units could be as small as just one sample, scrambling results in bandwidth expansion. This can lead to loss of signal out of band of the channel and thereby degrading the speech quality.…”

Section: Introductionmentioning

confidence: 99%

Frequency Speech Scrambler based on Hartley Transform and OFDM Algorithm

Anjana¹,

Kuriakose²

2013

IJCA

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Speech scramblers are considered for communication applications where secured speech signal transmissions are important requirement. This paper proposes a frequency voice scrambler with much less residual intelligibility, simulated in Matlab. In this, two techniques, Fast Hartley Transform (FHT) and Orthogonal Frequency Division Multiplexing (OFDM) scrambling key generation scheme are combined together, which can provide scrambled speech by permuting frequency components. Thus the voice cryptographic system is based on an OFDM scrambled discrete Hartley Transform.

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Section: Introductionmentioning

confidence: 99%

Frequency Speech Scrambler based on Hartley Transform and OFDM Algorithm

Anjana¹,

Kuriakose²

2013

IJCA

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“…Time-frequency scramblers have been an object of study for more than three decades leading analog technology into digital technology. Speech scrambler applications in the time domain may be found in literature (Mitchell and Piper, 1985; Lee and Chou, 1984;Huang and Stansfield, 1993). The voice signal is segmented and temporally scrambled.…”

Section: Introductionmentioning

confidence: 99%