Semifragile Speech Watermarking Based on Least Significant Bit Replacement of Line Spectral Frequencies

Joint Authors

Nematollahi, Mohammad Ali
Gamboa-Rosales, Hamurabi
Vorakulpipat, Chalee

Source

Mathematical Problems in Engineering

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-10

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

There are various techniques for speech watermarking based on modifying the linear prediction coefficients (LPCs); however, the estimated and modified LPCs vary from each other even without attacks.

Because line spectral frequency (LSF) has less sensitivity to watermarking than LPC, watermark bits are embedded into the maximum number of LSFs by applying the least significant bit replacement (LSBR) method.

To reduce the differences between estimated and modified LPCs, a checking loop is added to minimize the watermark extraction error.

Experimental results show that the proposed semifragile speech watermarking method can provide high imperceptibility and that any manipulation of the watermark signal destroys the watermark bits since manipulation changes it to a random stream of bits.

American Psychological Association (APA)

Nematollahi, Mohammad Ali& Vorakulpipat, Chalee& Gamboa-Rosales, Hamurabi. 2017. Semifragile Speech Watermarking Based on Least Significant Bit Replacement of Line Spectral Frequencies. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190217

Modern Language Association (MLA)

Nematollahi, Mohammad Ali…[et al.]. Semifragile Speech Watermarking Based on Least Significant Bit Replacement of Line Spectral Frequencies. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1190217

American Medical Association (AMA)

Nematollahi, Mohammad Ali& Vorakulpipat, Chalee& Gamboa-Rosales, Hamurabi. Semifragile Speech Watermarking Based on Least Significant Bit Replacement of Line Spectral Frequencies. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1190217

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190217