Volume 11 - Volume 11
Optimized Multirate Wideband Speech Steganography for Improving Embedding Capacity Compared with Neighbor-Index-Division Codebook Division Algorithm
Abstract
Aim: The main motive of this study is to perform Adaptive Multi Rate Wideband (AMR-WB) Speech
Steganography in network security to produce the stego speech with less loss of quality while
increasing embedding capacities. Materials and Methods: TIMIT Acoustic-Phonetic Continuous
Speech Corpus dataset consists of about 16000 speech samples out of which 1000 samples are taken
and 80% pretest power for analyzing the speech steganography. AMR-WB Speech steganography is
performed by Diameter Neighbor codebook partition algorithm (Group 1) and Neighbor Index
Division codebook division algorithm (Group 2). Results: The AMR-WB speech steganography
using DN codebook partition obtained average quality rate of 2.8893 and NID codebook division
algorithm obtained average quality rate of 2.4196 in the range of 300bps embedding capacity.
Conclusion: The outcomes of this study proves that the decrease in quality in NID is twice more
than the DN based steganography while increasing the embedding capacities.
Paper Details
PaperID: 1763
Author's Name: Akkireddy Mohan Kumar Reddy and Dr.R. Balamanigandan
Volume: Volume 11
Issues: Volume 11
Keywords: Innovative Speech Steganography, Network Security, Embedding Capacity, Diameter Neighbor Codebook Partition, Neighbor Index Division Codebook Division Algorithm.
Year: 2021
Month: April
Pages: 1362-1376