Gender Recognition from Audio Signal Using Matlab Project With Source Code Final Year Project Code

 ABSTRACT

             Signal is a physical quantity that varies with respect to the independent variable like time, space, etc. Signal values can be represented in zero’s and one’s. Processing of digital signal by using digital computer is called as Digital Signal Processing. According to Webster’s dictionary, speech is the expression or communication throughout in speakers. Speech is the most important thing to express our thoughts. Speech signal is used to communicate among people. It not only consists of the information but also carries the information regarding the particular speaker. From which the speaker is male or female can be recognized. The meaning of Gender Recognition (GR) is recognizing the gender of the person whether the speaker is male or female. The Information about gender, age, ethnicity, and emotional state are the important ingredients that give rich behavioral information. Such information can be obtained from the speech signal. In this project, an unknown speaker is compared to a database of some known speakers. The best matching system is taken as the recognition decision. From the Recognition decision we conclude whether the given voice sample is generated by a male or female. This project is developed in matlab.

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Prof. Roshan P. Helonde

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Email: roshanphelonde@rediffmail.com

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Audio Watermarking Using Matlab Project With Source Code Final Year Project

 ABSTRACT

           Currently over the millions of digital audio files such as digital songs are copied illegally during file-sharing over the networks. It has resulted as the loss of revenue for music and broadcasting industries. The traditional protection schemes are no longer useful to protect copyright and ownership of multimedia objects. These challenges have prompted significant research in digital audio watermarking for protection and authentication. Watermarking is a technique, which is used in protecting digital information like text, images, videos and audio as it provides copyrights and ownership. The identity of the owner of the audio file can be hidden in the audio file which is called Watermark. Therefore, digital audio watermarking is the process of hiding some information into the audio file in such a way that the quality and the audibility of the audio is not affected. It helps to prevent forgery and impersonation of audio signal. Audio watermarking is more challenging than image watermarking due to the dynamic supremacy of hearing capacity over the visual field. The proposed method involves Embedding and extraction of audio signal using Least Significant Bit. The audio signal which is in .wav  format undergoes segmentation, transformation and embedding the watermarked data and at the last inverse transformation will be carried out. We attempt to develop an efficient method for hiding the information in the audio file such that the copyright information will be protected from illegal copying of the information. This project is developed in matlab.

PROJECT OUTPUT

PROJECT DEMO VIDEO

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Audio Steganography Hiding Text In Audio Matlab Project With Source Code | Final Year Project Code

 ABSTRACT

             Steganography is one of the best data hiding technique in the world which can be used to hide data without its presence felt. In today’s digital world most of us communicate via use of electronic media or internet. Most people among us remain unaware about the data loss or data theft which can happen on online transmission of data or message. Valuable information including personal data, messages transmitted through internet is vulnerable to hackers who may steal or decrypt our data or messages. This poject is about enhancing the data or message security with use of Audio Steganography using LSB algorithm to hide the message into multiple audio files. The message hidden by this application is less vulnerable to be stolen than other similar applications. This is due to following reasons: Firstly files are taken to hide high amount of message which enhance information hiding capacity. Secondly before being hidden, the message is broken into parts and shuffled randomly based on permutation generated at runtime so even if the Least Significant Bit gets encountered the message is still unarranged and meaningless which enhances its security. This application is capable to carry large amount of information with greater security. As audio steganography uses audio as a cover medium, similarly this application too uses an audio as a platform for hiding the message. User provides input message in the form of text and chooses the audio wave file to hide the message. This application provides a smart and interactive interface for message hiding and its retrieval. Message is shuffled in random sequence before being hidden. Random sequence which is generated based on certain factors is used to shuffle the message before hiding it. This further enhances the data security. 

PROJECT OUTPUT

PROJECT DEMO VIDEO

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Prof. Roshan P. Helonde

Mobile: +917276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Kidney Stone Detection Using Image Processing Python Project With Source Code | Final Year Project Code

ABSTRACT

            Nowadays, kidney stone has become a major problem and if not detected at an early stage then it may cause complications and sometimes surgery is also needed to remove the stone. So, to detect the stone and that too precisely paves the way to image processing because through image processing there is a tendency to get the precise results and it is an automatic method of detecting the stone. This project presents a technique for detection of kidney stones using image processing. This project is develop in python.

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Currency Recognition Using Image Processing Matlab Project With Source Code | IEEE Based Project

 ABSTRACT

           The appearance of the currency is part of this development and it is affected directly, where there is exploited in incorrect form by copying the currency in a manner similar to the reality. Therefore, it became necessary to implement a proposal for being a suitable as solution not inconsistent with the different cultures, time and place. This clear through add the watermarks inside currency, which is difficult to be copied. At the same time, this watermarks may be visible to the naked eye so can easily inferred or it is invisible. However the high resolution imaging devices can copy these additions. In this research, we have proposed a system to distinguish the currencies by the program that working a submission inferred to the watermark by feature extraction determined the type of currency. In addition to, it determined category of the currency. Benefit of it, is reducing as much as possible the spread of counterfeit currency and this system can be used by any user wants to make sure of the currency.

PROJECT OUTPUT

PROJECT VIDEO

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com

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Types of Brain Tumor Detection Using CNN Python Project With Source Code | IEEE Based Projects

 ABSTRACT

            A tumor can be defined as a mass which grows without any control of normal forces. Real time diagnosis of tumors by using more reliable algorithms has been an active of the latest developments in medical imaging and detection of brain tumor in MR scan images. Hence image segmentation is the fundamental problem used in tumor detection. Image segmentation can be defined as the partition or segmentation of a digital image into similar regions with a main aim to simplify the image under consideration into something that is more meaningful and easier to analyze visually. Brain tumor is an abnormal growth caused by cells reproducing themselves in an uncontrolled manner. Magnetic Resonance Image (MRI) is the commonly used device for diagnosis. In MR images, the amount of data is too much for manual interpretation and analysis. During the past few years, brain tumor segmentation in Magnetic Resonance Imaging(MRI) has become an emergent research area in the field of medical imaging system. Accurate detection of size and location of brain tumor plays a vital role in the diagnosis of tumor. Image processing is an active research area in which medical image processing is a highly challenging field. Image segmentation plays a significant role in image processing as it helps in the extraction of suspicious regions from the medical images. 

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Breast Cancer Detection Using CNN Convolutional Neural Network | Matlab Project With Source Code

 ABSTRACT

        The World Health Organization's International agency for Research on Cancer in Lyon, France, estimates that more than 150 000 women worldwide die of breast cancer each year. Organ chlorines are considered a possible cause for hormone-dependent cancers . Detection of early and subtle signs of breast cancer requires high-quality images and skilled mammographic interpretation. In order to detect early onset of cancers in breast screening, it is essential to have high-quality images. Radiologists reading mammograms should be trained in the recognition of the signs of early onset of, which may be subtle and may not show typical malignant features. Mammography screening programs have shown to be effective in decreasing breast cancer mortality through the detection and treatment of early onset of breast cancers. In this project we have convolutional neural network CNN for classification of breast cancer like Benign Cancer, Malignant Cancer and Normal Breast.

PROJECT OUTPUT

PROJECT VIDEO

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Prof. Roshan P. Helonde 

Mobile: +91-7276355704 

WhatsApp: +91-7276355704 

Email: roshanphelonde@rediffmail.com

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Top 10 Image Processing Python Project Source Code || Top 10 Final Year Projects Source Code

 

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

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Email: roshanphelonde@rediffmail.com

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Top 10 Matlab Project Source Code || Final Year Projects || Image Processing Projects

 

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com

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Audio Speech Emotion Recognition Using Matlab Project Code || IEEE Based Projects || Final Year Projects

ABSTRACT

          Emotion Recognition is a recent research topic in the field of Human Computer Interaction Intelligence and mostly used to develop wide range of applications such as stress management for call centre employee, and learning & gaming software, In E-learning field, identifying students emotion timely and making appropriate treatment can enhance the quality of teaching. Main aim of HCI is to achieve a more natural interaction between machine and humans. HCI is an emerging field using which we can improve the interactions between users and computers by making computers more respond able to the user’s needs. Today’s HCI system has been developed to identify who is speaking or what he/she is speaking. If in the HCI system, the computers are given an ability to detect human emotions then they can know how he/she is speaking and can respond accurately and naturally like humans do. In this project methodology for emotion recognition from speech signal is presented. Here, some of acoustic features are extracted from speech signal to analyze the characteristics and behavior of speech. The system is used to recognize the basic emotions. It can serve as a basis for further designing an application for human like interaction with machines through natural language processing and improving the efficiency of emotion. In this format, energy, Mel Frequency Cepstral Coefficients (MFCC) has been used for feature extraction from the speech signal. Support Vector Machine (SVM) are used for recognition of emotional states. English datasets are used for analysis of emotions with SVM Kernel functions.

PROJECT OUTPUT

PROJECT VIDEO

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Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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PYTHON PROJECTS WITH SOURCE CODE

>> Plant Leaf Disease Detection Using Convolutional Neural Network CNN In Python Project Source Code || IEEE Based Final Year Projects

>> Image Watermarking Using Python Project With Source Code | Final Year Project

>> Soybean Plant Diseases Detection Using Image Processing Python Project Source Code || Final Year Project Code

>> DWT Based Image Steganography Python Project With Source Code / Hiding Text Message in Cover Image Using DWT

>> Wheat Leaf Disease Detection Using Image Processing Python Project With Source Code

>> Lung Cancer Detection Using Convolutional Neural Network (CNN) Python OpenCV Tensorflow Project Source Code

>> Image Encryption and Decryption Using RSA Algorithm Python Project With Source Code

>> Face Mask Detection Using Deep Learning Python Project With Source Code

>> Currency Recognition Using CNN (Convolutional Neural Network) Python Project With Source Code | IEEE Based Projects

>> Image Compression Using Python Project With Source Code || Python Code for Image Compression

>> Python Code for Audio Steganography For Secret Message Hiding In Audio

>> Skin Disease Detection Using Convolutional Deep Learning Neural Network Python Source Code

>> Python Code for Real Time Face Recognition Using Camera Full Project Source Code

>> Python Code On Visible Image Watermarking Using Python Project With Source Code

>> Traffic Sign Recognition Using Deep Learning Python Project With Source Code

>> Image Steganography Using Python Project Source Code

>> Employee Attendance Monitoring from Face Recognition Using Python OpenCV Source Code

>> RSA Based Message Encryption and Decryption Using Python Source Code

>> Real Time Face Mask Detection From Camera Using Deep Learning Python Project Source Code

>> Python Code On Barcode Recognition using Image Processing

>> Python Code Image Steganography for Hiding Message in Image Full Project Source Code

>> LSB Based Image Steganography Using Python Source Code / Secret Message Hiding In Image Using Python Project Code

>> Python Code for Digit Recognition using Deep Learning Full Project Source Code

>> OMR Answer Sheet Evaluation Using Python Project With Source Code

>> Social Distance Detection & Alerting System (Covid19) Python Project With Source Code

>> Image Steganography For Hiding Secret Image In Image Using Python Source Code

>> Age and Gender Recognition using Convolutional Neural Network CNN full Python Project Source Code

>> Python Code for Image Steganography for Hiding Message in Image Using Python Project

>> Image Encryption Decryption Using AES Algorithm Python Project Source Code

>> Face Recognition Based Attendance Maintenance Using Python OpenCV Source Code

>> Python Code for Image Enhancement Using Histogram Equalization Project with Source Code

>> Message Encryption Decryption Using AES Algorithm Python Project Source Code

>> RSA Encryption Decryption of Message using Python Source Code / Encryption Using RSA Algorithm

>> Real Time Age and Gender Recognition using Camera Python Project Source Code || Age and Gender Recognition using Deep Learning

>> Data Encryption and Decryption Using Python Source Code / Cryptography Using Python Source Code

>> Secret Data Hiding Cryptography Python Project With Source Code

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Python Code for Audio Steganography For Secret Message Hiding In Audio

 ABSTRACT

                    Steganography is one of the best data hiding technique in the world which can be used to hide data without its presence felt. In today’s digital world most of us communicate via use of electronic media or internet. Most people among us remain unaware about the data loss or data theft which can happen on online transmission of data or message. Valuable information including personal data, messages transmitted through internet is vulnerable to hackers who may steal or decrypt our data or messages. This project is about enhancing the data or message security with use of Audio Steganography to hide the message into audio files. The message hidden by this application is less vulnerable to be stolen than other similar applications. This is due to following reasons: Firstly files are taken to hide high amount of message which enhance information hiding capacity. Secondly before being hidden, the message is broken into parts and shuffled randomly based on permutation generated at runtime so even if the LSB gets encountered the message is still unarranged and meaningless which enhances its security. This application is capable to carry large amount of information with greater security.

PROJECT OUTPUT

PROJECT VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email id: roshanphelonde@rediffmail.com

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Matlab Code for Audio Steganography Using Matlab Project Code - Data Hiding In Audio Using Matlab Project with Source Code

 ABSTRACT

          Information security is one of the most important factors to be considered when secret information has to be communicated between two parties. Cryptography and steganography are the two techniques used for this purpose. Cryptography scrambles the information, but it reveals the existence of the information. Steganography hides the actual existence of the information so that anyone else other than the sender and the recipient cannot recognize the transmission. In steganography the secret information to be communicated is hidden in some other carrier in such a way that the secret information is invisible. In this project an audio steganography technique is proposed to hide audio signal in image in the transform domain using wavelet transform. The audio signal in any format wav is encrypted and carried by the image without revealing the existence to anybody. When the secret information is hidden in the carrier the result is the stegno signal. In this work, the results show good quality stegno signal and the stegno signal is analyzed for different attacks. It is found that the technique is robust and it can withstand the attacks. The quality of the stegno signal is measured by Peak Signal to Noise Ratio (PSNR), Mean Square Error. The quality of extracted secret audio signal is measured by Signal to Noise Ratio (SNR). The results show good values for these metrics.

PROJECT OUTPUT

PROJECT VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +91-7276355704

Email: roshanphelonde@rediffmail.com

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Audio Steganography For Hiding Secret Audio In Audio Using Matlab Source Code

 ABSTRACT

             Steganography is one of the methods of secret communication that hides the existence of message so that a viewer cannot detect the transmission of message and hence cannot try to Extract it. It is the process of embedding secret data in the cover Audio without significant changes to the cover audio. These algorithms keep the messages from stealing, destroying from unintended users on the internet and hence provide security. In this project we perform Audio Steganography for Hiding Secret audio In Cover audio using matlab.

PROJECT OUTPUT

PROJECT VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

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Audio Steganography Using Python Source Code - Data Hiding In Audio Python Project Code

ABSTRACT 

              Steganography is one of the best data hiding technique in the world which can be used to hide data without its presence felt. In today’s digital world most of us communicate via use of electronic media or internet. Most people among us remain unaware about the data loss or data theft which can happen on online transmission of data or message. Valuable information including personal data, messages transmitted through internet is vulnerable to hackers who may steal or decrypt our data or messages. This poject is about enhancing the data or message security with use of Audio Steganography using LSB algorithm to hide the message into multiple audio files. The message hidden by this application is less vulnerable to be stolen than other similar applications. This is due to following reasons: Firstly files are taken to hide high amount of message which enhance information hiding capacity. Secondly before being hidden, the message is broken into parts and shuffled randomly based on permutation generated at runtime so even if the LSB gets encountered the message is still unarranged and meaningless which enhances its security. This application is capable to carry large amount of information with greater security. 

PROJECT OUTPUT

PROJECT VIDEO

Contact:

Prof. Roshan P. Helonde

Mobile: +91-7276355704

WhatsApp: +917276355704

Email: roshanphelonde@rediffmail.com

Read More