Paper Info
Title
Steganography integrated into linear predictive coding for low bit-rate speech codec.
Abstract
The extensive use of Voice over IP (VoIP) applications makes low bit-rate speech stream a very suitable steganographic cover media. To incorporate steganography into low bit-rate speech codec, we propose a novel approach to embed information during linear predictive coding (LPC) process based on Matrix Embedding (ME). In the proposed method, a mapping table is constructed based on the criterion of minimum distance of Linear-Predictive-Coefficient-Vectors, and embedding position and template are selected according to a private key so as to choose the cover frames. The original speech data of the chosen frames are partially encoded to get the codewords for embedding and then the codewords that need to be modified for embedding are selected according to the secret bits and ME algorithm. The selected codeword will be changed into its best replacement codeword according to the mapping table. When embedding k (k 1) bits into 2kź1 codewords, the embedding efficiency of our method is k times as that of LPC-based Quantization Index Modulation method. The performance of the proposed approach is evaluated in two aspects: distortion in speech quality introduced by embedding and security under steganalysis. The experimental results demonstrate that the proposed approach leads to a better performance with less speech distortion and better security.
Year
DOI
Venue
2017
10.1007/s11042-016-3257-x
Multimedia Tools Appl.
Keywords
Field
DocType
Information hiding, Linear predictive coding, Matrix embedding, Quantization index modulation
Steganography,Embedding,Speech coding,Computer science,Information hiding,Speech recognition,Code word,Steganalysis,Distortion,Linear predictive coding
Journal
Volume
Issue
ISSN
76
2
1573-7721
Citations 
PageRank 
References 
7
0.46
18
Authors
3
Name
Order
Citations
PageRank
Peng Liu128417.75
Songbin Li2534.79
Haiqiang Wang3273.07