1. PRESENTATION ON
AN ALGORITHMIC APPROACH FOR VOICE
BASED WATERMARKING
Prepared by-
Kamonasish Hore

2. Introduction:
 The piracy of the data is increasing now-a-days so watermarking has
become a hotspot in recent years. Yet most of them use a private key of
a copyright holder as watermark but still have some limitations.
 Thus we propose a new idea for watermarking , which uses voice as the
original watermark as far as we know voice of a human being is inherent
and not changes along with time.
 The main contribution of this work is the voice signal is embedded into
relations. Voice of copyright holder is used to generate watermark by
watermark generation algorithm.

3. Objective:
 The basic objective of this project is to embed the voice
into a file (i.e. data file or any other file) so as to copyright
the file and make it secure from piracy.

4. Benefits:
Voice of copyright holder is used for watermark because of its
following characteristics.
 No two persons can have same features in their voice i.e. voice of
every person has a unique feature.
 Everyone has speech so universality is again one of the
characteristic of voice.
 Measurable, speech can easily be converted into bit format thus use
of voice content large data. So it is challenging to use voice as a
watermark.

5. Proposed Work : Block Diagram

6.  Phase 1: Generation of the wave file using a software and
a headphone with microphone facility.
 Phase 2: Implementation of the saved wave file in matlab.
 Phase 3: Filtration of the wave file using a filter in matlab.
 Phase 4: Embed the wave file into particular file(text
document )
 Phase 5: Encryption of that file using algorithm.
 Phase 6: Decryption of that file using algorithm.
 Phase 7: Desired output as watermark.
 Phase 8: Creating a GUI
Phases of the Project:

7. Hardware and Software Requirement
specifications:
 Microphone.
 Software for creating a voice signal (.wav file format.)
 Laptop/Desktop
 Matlab (R2011a and above)
Future Scope and Enhancements:
 Watermarking extensions to handle non-numeric attributes.
 New algorithms for fingerprinting to track multiple sources of piracy.

8.  Phase 1: Generation of the wave file using a
software and a headphone with
microphone facility.
 Phase 2: Implementation of the saved wave file
in matlab.
 Phase 3: Filtration of the wave file using a filter
in matlab to reduce noise.

11. GUI

12. Snapshot after loading the saved .wav file with desired
wave form.

13. Phase 5: Encryption of the file using md5 hash
algorithm.

14.  [1] Journal- Watermarking Relational Databases using
Optimization Based Techniques.
 [2] R. Agrawal and J. Kiernan. Watermarking Relational Databases.
In Proceedings of 28th International Conference on Very Large Data
Bases, Hong Kong, China, 2002.
 [3] YouTube- Matlab demonstration-basic signal manipulation using
audio signals.
 [4] Journal- Voice Based Watermarking Technique for Relational
Databases.
 [5] YouTube- Matlab for Beginers.
Reference:

15. THANK YOU