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

المؤلفون المشاركون

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

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-01-10

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1190217