Digital Speech Watermarking for Authenticity of Speaker in Speaker Recognition System

Desai, Nihalkumar; Tahilramani, Nikunj

doi:10.1109/icmete.2016.13

Cited by 5 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is done by altering the number of samples in silence intervals. Audio watermarking was used to prevent the direct and indirect attacks on speaker recognition system from the unauthorized user [2]. [3] K. Vimal and S. A. kather discussed about extraction of data hidden in the silence region of speech signal by non-voiced detection algorithm.…”

Section: Introductionmentioning

confidence: 99%

Data Hiding in Speech Signal Using Steganography and Encryption

Karan

Bharath

et al. 2018

2018 3rd IEEE International Conference on Recent Trends in Electronics, Information &Amp; Communication Technology (RTEICT)

View full text Add to dashboard Cite

Data privacy and data security are always on highest priority in the world. We need a reliable method to encrypt the data so that it reaches the destination safely. Encryption is a simple yet effective way to protect our data while transmitting it to a destination. The proposed method has state of art technology of steganography and encryption. This paper puts forward a different approach for data hiding in speech signals. A ten-digit number within speech signal using audio steganography and encrypting it with a unique key for better security. At the receiver end the same unique key is used to decrypt the received signal and then hidden numbers are extracted. The proposed approach performance can be evaluated by PSNR, MSE, SSIM and bit-error rate. The simulation results give better performance compared to existing approach.

show abstract

Section: Introductionmentioning

confidence: 99%