Title :
A Watermarking Method for Digital Speech Self-Recovery
Author :
Sarreshtedari, Saeed ; Akhaee, Mohammad Ali ; Abbasfar, Aliazam
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
Abstract :
Authentication and tampering detection of the digital signals is one of the main applications of the digital watermarking. Recently, watermarking algorithms for digital images are developed to not only detect the image tampering, but also to recover the lost content to some extent. In this paper, a new watermarking scheme is introduced to generate digital self-embedding speech signals enjoying the self-recovery feature. For this purpose, the compressed version of the speech signal generated by a speech codec and protected against the tampering by the proper channel coding is embedded into the original speech signal. Experimental results show that the self-embedding speech signal is recoverable with proper speech quality for high tampering rates, without significant loss in the quality of the original speech signal.
Keywords :
channel coding; cryptography; image watermarking; speech coding; channel coding; digital image tampering detection; digital self-embedding speech signal self-recovery feature; digital signal authentication detection; digital signal tampering detection; digital watermarking algorithm; speech codec; speech quality; Channel coding; Decoding; Receivers; Speech; Speech coding; Speech processing; Watermarking; Digital speech self-recovery; digital speech watermarking; source-channel coding; speech authentication;
Journal_Title :
Audio, Speech, and Language Processing, IEEE/ACM Transactions on
DOI :
10.1109/TASLP.2015.2456431