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DATA HIDING IN AUDIO

SIGNALS

PRESENTED BY-

JAKERA PARVIN CHOUDHURY

HT NO:08H81A0417

INTERNAL GUIDE-

ARSHIYA NOORI


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INTRODUCTION

With the rapid development of the speech, audio,

image, and video compression methods, currently it

is not a difficult task to spread digital multimedia

over Internet. This makes the protections of digital

intellectual property rights and contentauthentications have been a serious problem.

By using watermarking technique we can hide the

data in audio signal


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BLOCK DIAGRAM

Watermark

embedderWatermark

detector

Host signal

Watermark message

Watermarked signal

Detected

watermarked

message


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SOFTWARE REQUIRED

BASED ON MATLAB SOFTWARE


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INTRODUCTION TO MATLAB

WHAT IS MATLAB?

HOW TO START AND QUIT MATLAB?

USING HELP IN MATLAB

MATRIX, VECTOR AND SCALAR SOME BASIC COMMANDS

SOME BASIC PLOT COMMANDS

ALGEBRIC OPERATIONS IN MATLAB

READING AND WRITING SOUND FILES INMATLAB


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HIDING TECHNIQUE

WATERMARKING

we can define watermarking systems as in which

the hidden message is related to the host signal

and non-watermarking systems in which the

message is unrelated to the host signal. On the

other hand, systems for embedding messages into

host signals can be divided into stegnographic

systems, in which the existence of the message is

kept secret, and non-stegnographic systems, inwhich the presence of the embedded message

does not have to be secret.


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APPLICATION AREAS

OWNERSHIP PROTECTION

PROOF OF OWNERSHIP

AUTHENTICATION AND TAMPERING

DETECTION

BROADCAST MONITORING

INFORMATION CARRIER PERCEPTUAL TRANSPARENCY

WATERMARK BIT RATE

ROBUSTNESS

BLIND OR INFORMED WATERMARKDETECTION

SECURITY

THEORY


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THEORY

Basic Watermarking system equivalent to a communication system


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SPEECH PROCESSING

SPEECH PRODUCTION

WHAT IS SPEECH PROCESSING

SPEECH CODING

SPEECH SYNTHESIS

SPECIAL TYPE OF VOICED AND UNVOICED SOUNDS

VOWELS

DIPHTHONGS SEMIVOWELS

NASALS

UNVOICED FRICATIVES

VOICED FRICATIVES

VOICED STOPS

UNVOICED STOPS SPEECH RECOGNITION

WHY ENCODE SPEECH

FACTORS ASSOCIATED WITH SPEECH

Formants

Phonemes


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INTRODUCTION TO WAVELET ANALYSIS INTRODUCING WAVELETS

WAVELET VS FOURIER ANALYSIS

TIME-FREQUENCY RESOLUTION

EXAMPLES OF WAVELETS

THE DISCRETE WAVELET TRANSFORM

THE FAST WAVELET TRANSFORM ALGORITHM

SIGNAL RECONSTRUCTION

SPEECH WATER MARKING

APPLCATIONS & ADVANTAGES

AUTHENTICATION AND TAMPERING DETECTION

BROADCAST MONITORING

INFORMATION CARRIER

PERCEPTUAL TRANSPARENCY

WATERMARK BIT RATE

ROBUSTNESS

SECURITY SERVICES


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RESULTSMain GUI

Step 1: Select the audio signal in for which you want to watermark


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Step 2 Select the speech signal which you want to insert


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Step 3: Select the watermarking button and hear the watermarked song and a audio

watermarked file will be written and stored in the current directory


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ADVANTAGES and DISADVANTAGES

ADVANTAGES1.Content preserving operations in the transmission channel should be

tolerated to facilitate flexible applications.

2. Low computational complexity both at the transmitter and receiver side is

important in real time media processing which can be possible

3. Localized malicious modification can be easily detected for he protected

digital data

4. Avoid ability of degradation and robustness for audio signals

5.Protection of intellectual digital works

6. It takes benefits from two State-Of-The-Art reference systems by exploiting

the receiver of the one for its low computational cost and the embedding

strategy of the other for its high transmission reliability.

7.Its receiver relies on an equalization Wiener Alter and its embedded uses a

local copy.8.This watermarking technique relies on direct sequence spread spectrum

(DSSS) to spread the watermarked signal over the entire audible frequency

spectrum such that it approximates white noise, at a power level as to be

inaudible.


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DISADVANTAGES1.Digital information can easily be disseminated and copied via global

networks. Due to this ease, challenges regarding digital information havecreated a need for more copyright laws. However, laws cannot be the only

entity required to protect digital works.

2.Terrorists can also use Audio data hiding to keep their communications

secret and to coordinate attacks.

3.There is a narrow margin between hiding watermark information in ways

which pass through perceptual encoders, and still cannot be perceived bylisteners.

4.There is a chance of distortion which leads to add any unwanted signal.due

to which listener cannot get the original signal.

5.The phase encoding watermarking technique offers higher data rates over

the previous methods, averaging from 8 to 32 bits per second. This technique

is increasingly effective in the presence of noise.

6. The robustness of the scheme can be increased somewhat with longer

audio files, by inserting the watermark signal multiple times, which will aid in

extraction, and also in error correction if the signal is manipulated.


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APPLICATIONS

1. Audio data hiding can be used anytime you want to hide data. There aremany reasons to hide data but most important is to prevent unauthorized

persons from becoming aware of the existence of a message.

2. In the business world Audio data hiding can be used to hide a secret

chemical formula or plans for a new invention. Audio data hiding can also be

used in

corporate world.3.Audio data hiding can also be used in the noncommercial sector to hide

information that someone wants to keep private.

4.Data hiding in video and audio, is of interest for the protection of

copyrighted digital media, and to the government for information systems

security and for covert communications.

5. It can also be used in forensic applications for inserting hidden data intoaudio files for the authentication of spoken words and other sounds, and in

the music business for the monitoring of the songs over broadcast radio.

6. Terrorists can also use Audio data hiding to keep their communications

secret and to coordinate attacks.


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FUTURESCOPE

An increase in high bandwidth internet connections has also promptedthe motion picture industry to take note of possible revenue losses due to

unauthorized movie distribution via the internet. Microsoft is currently

developing new watermark technologies and is in the process of testing

future operating systems equipped with DRM for all media types.

The success of IP protection schemes over past years, including most

current watermarking technology, is limited. Virtually all the technologiesintroduced to date have been cracked or have proven unsuitable due to the

degradation and distortion they introduce for example, past watermarking

schemes from Verance have proven audible when demonstrated for record

companies. Watermarking digital audio becomes particularly difficult when

the file is subject to a lossy compression schemes such as MP3 or

WMA. These perceptual compression schemes, and current watermarking

schemes, take advantage of many of the same limitations of the human

auditory system creating a problem whereby watermark information can

be distorted and lost.


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CONCLUSIONIn this paper we have introduced a robust method of imperceptible audio datahiding. This system is to provide a good, efficient method for hiding the data from

hackers and sent to the destination in a safe manner. This proposed system will

not change the size of the file even after encoding and also suitable for any type

of audio file format. Thus we conclude that audio data hiding techniques can be

used for a number of purposes other than covert communication or deniable data

storage, information tracing and finger printing, tamper detection. As the sky is

not limit so is not for the development. Man is now pushing away its own

boundaries to make every thought possible. So similarly these operations

described above can be further modified as it is in the world of information

technology. After designing any operation every developer has a thought in hismind that he could develop it by adding more features to it.


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