Open AccessA Systematic Approach to Authenticate Song Signal Without Distortion of Granularity of Audible Information (ASSDGAI)
Author(s) -
Uttam Kr. Mondal,
Mandal J.K
Publication year - 2013
Publication title -
international journal of multimedia and its applications
Language(s) - English
Resource type - Journals
eISSN - 0975-5934
pISSN - 0975-5578
DOI - 10.5121/ijma.2013.5406
Subject(s) - granularity , distortion (music) , signal (programming language) , computer science , speech recognition , authentication (law) , acoustics , telecommunications , computer security , physics , bandwidth (computing) , amplifier , programming language , operating system
The major concern to authenticate an audio signal is restoring its basic audible properties and providingsuch a way that may not produce any unusual perception to listeners. Therefore, authenticating an audiosignal needs to embed as less as minimum security code within tolerable range of perception. In this paper,perceptual encoding has been applied for structuring song signal in a specified manner with lessmodification of its amplitude values and followed by embedding formatted data in skewed pattern that willuse for verifying any type of alternation by comparing its own structural format and systematic structure ofsong signal with neighbouring sampled values. A comparative study has been made with similar existingtechniques and experimental results are also supported with mathematical formula based on MicrosoftWAVE (".wav") stereo sound file