Submit Search
Upload
IRJET- Voice Modulation and Verification for Smart Authentication System
•
0 likes
•
24 views
IRJET Journal
Follow
https://www.irjet.net/archives/V6/i4/IRJET-V6I41033.pdf
Read less
Read more
Engineering
Report
Share
Report
Share
1 of 6
Download now
Download to read offline
Recommended
IRJET - Threat Prediction using Speech Analysis
IRJET - Threat Prediction using Speech Analysis
IRJET Journal
Estimation of Harvested Energy from the Traffic Patterns Associated with Nodes
Estimation of Harvested Energy from the Traffic Patterns Associated with Nodes
Associate Professor in VSB Coimbatore
Case study on Pamplona National High School Local Area Network
Case study on Pamplona National High School Local Area Network
Jude Rainer
Thesis presentation
Thesis presentation
Aboul Ella Hassanien
finalwithrec4
finalwithrec4
Pradip Sapkota
Evaluation of network intrusion detection using markov chain
Evaluation of network intrusion detection using markov chain
IJCI JOURNAL
SPECIFICATION BASED TESTING OF ON ANDROID SYSTEMS
SPECIFICATION BASED TESTING OF ON ANDROID SYSTEMS
ijwmn
IRJET - Deep Learning Applications and Frameworks – A Review
IRJET - Deep Learning Applications and Frameworks – A Review
IRJET Journal
Recommended
IRJET - Threat Prediction using Speech Analysis
IRJET - Threat Prediction using Speech Analysis
IRJET Journal
Estimation of Harvested Energy from the Traffic Patterns Associated with Nodes
Estimation of Harvested Energy from the Traffic Patterns Associated with Nodes
Associate Professor in VSB Coimbatore
Case study on Pamplona National High School Local Area Network
Case study on Pamplona National High School Local Area Network
Jude Rainer
Thesis presentation
Thesis presentation
Aboul Ella Hassanien
finalwithrec4
finalwithrec4
Pradip Sapkota
Evaluation of network intrusion detection using markov chain
Evaluation of network intrusion detection using markov chain
IJCI JOURNAL
SPECIFICATION BASED TESTING OF ON ANDROID SYSTEMS
SPECIFICATION BASED TESTING OF ON ANDROID SYSTEMS
ijwmn
IRJET - Deep Learning Applications and Frameworks – A Review
IRJET - Deep Learning Applications and Frameworks – A Review
IRJET Journal
Risk Assessment for Identifying Intrusion in Manet
Risk Assessment for Identifying Intrusion in Manet
IOSR Journals
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
eSAT Journals
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
eSAT Publishing House
Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit A...
Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit A...
ijsrd.com
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...
IRJET Journal
Computer security - A machine learning approach
Computer security - A machine learning approach
Sandeep Sabnani
Internet Worm Classification and Detection using Data Mining Techniques
Internet Worm Classification and Detection using Data Mining Techniques
iosrjce
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
IJMIT JOURNAL
A novel algorithm to protect and manage memory locations
A novel algorithm to protect and manage memory locations
iosrjce
Multi Stage Filter Using Enhanced Adaboost for Network Intrusion Detection
Multi Stage Filter Using Enhanced Adaboost for Network Intrusion Detection
IJNSA Journal
A45010107
A45010107
IJERA Editor
Detection of speech under stress using spectral analysis
Detection of speech under stress using spectral analysis
eSAT Publishing House
Environment based secure transfer of data in wireless sensor networks
Environment based secure transfer of data in wireless sensor networks
ijsptm
A NOVEL INTRUSION DETECTION MODEL FOR MOBILE AD-HOC NETWORKS USING CP-KNN
A NOVEL INTRUSION DETECTION MODEL FOR MOBILE AD-HOC NETWORKS USING CP-KNN
IJCNCJournal
IRJET - Query Processing using NLP
IRJET - Query Processing using NLP
IRJET Journal
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
eSAT Publishing House
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
eSAT Journals
Image Based Relational Database Watermarking: A Survey
Image Based Relational Database Watermarking: A Survey
iosrjce
IRJET- Factoid Question and Answering System
IRJET- Factoid Question and Answering System
IRJET Journal
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...
IRJET Journal
IRJET- Speech Based Answer Sheet Evaluation System
IRJET- Speech Based Answer Sheet Evaluation System
IRJET Journal
IRJET- Deep Web Searching (DWS)
IRJET- Deep Web Searching (DWS)
IRJET Journal
More Related Content
What's hot
Risk Assessment for Identifying Intrusion in Manet
Risk Assessment for Identifying Intrusion in Manet
IOSR Journals
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
eSAT Journals
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
eSAT Publishing House
Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit A...
Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit A...
ijsrd.com
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...
IRJET Journal
Computer security - A machine learning approach
Computer security - A machine learning approach
Sandeep Sabnani
Internet Worm Classification and Detection using Data Mining Techniques
Internet Worm Classification and Detection using Data Mining Techniques
iosrjce
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
IJMIT JOURNAL
A novel algorithm to protect and manage memory locations
A novel algorithm to protect and manage memory locations
iosrjce
Multi Stage Filter Using Enhanced Adaboost for Network Intrusion Detection
Multi Stage Filter Using Enhanced Adaboost for Network Intrusion Detection
IJNSA Journal
A45010107
A45010107
IJERA Editor
Detection of speech under stress using spectral analysis
Detection of speech under stress using spectral analysis
eSAT Publishing House
Environment based secure transfer of data in wireless sensor networks
Environment based secure transfer of data in wireless sensor networks
ijsptm
A NOVEL INTRUSION DETECTION MODEL FOR MOBILE AD-HOC NETWORKS USING CP-KNN
A NOVEL INTRUSION DETECTION MODEL FOR MOBILE AD-HOC NETWORKS USING CP-KNN
IJCNCJournal
IRJET - Query Processing using NLP
IRJET - Query Processing using NLP
IRJET Journal
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
eSAT Publishing House
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
eSAT Journals
Image Based Relational Database Watermarking: A Survey
Image Based Relational Database Watermarking: A Survey
iosrjce
What's hot
(18)
Risk Assessment for Identifying Intrusion in Manet
Risk Assessment for Identifying Intrusion in Manet
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
A multi classifier prediction model for phishing detection
Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit A...
Encryption and Compression of Audio-Video Data Using Enhanced AES and J-Bit A...
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...
IRJET- QUEZARD : Question Wizard using Machine Learning and Artificial Intell...
Computer security - A machine learning approach
Computer security - A machine learning approach
Internet Worm Classification and Detection using Data Mining Techniques
Internet Worm Classification and Detection using Data Mining Techniques
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
USE OF NETWORK FORENSIC MECHANISMS TO FORMULATE NETWORK SECURITY
A novel algorithm to protect and manage memory locations
A novel algorithm to protect and manage memory locations
Multi Stage Filter Using Enhanced Adaboost for Network Intrusion Detection
Multi Stage Filter Using Enhanced Adaboost for Network Intrusion Detection
A45010107
A45010107
Detection of speech under stress using spectral analysis
Detection of speech under stress using spectral analysis
Environment based secure transfer of data in wireless sensor networks
Environment based secure transfer of data in wireless sensor networks
A NOVEL INTRUSION DETECTION MODEL FOR MOBILE AD-HOC NETWORKS USING CP-KNN
A NOVEL INTRUSION DETECTION MODEL FOR MOBILE AD-HOC NETWORKS USING CP-KNN
IRJET - Query Processing using NLP
IRJET - Query Processing using NLP
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
An approach for ids by combining svm and ant colony algorithm
Image Based Relational Database Watermarking: A Survey
Image Based Relational Database Watermarking: A Survey
Similar to IRJET- Voice Modulation and Verification for Smart Authentication System
IRJET- Factoid Question and Answering System
IRJET- Factoid Question and Answering System
IRJET Journal
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...
IRJET Journal
IRJET- Speech Based Answer Sheet Evaluation System
IRJET- Speech Based Answer Sheet Evaluation System
IRJET Journal
IRJET- Deep Web Searching (DWS)
IRJET- Deep Web Searching (DWS)
IRJET Journal
IRJET- A Novel Approach – Automatic paper evaluation system
IRJET- A Novel Approach – Automatic paper evaluation system
IRJET Journal
Dotnet datamining ieee projects 2012 @ Seabirds ( Chennai, Pondicherry, Vello...
Dotnet datamining ieee projects 2012 @ Seabirds ( Chennai, Pondicherry, Vello...
SBGC
Email Spam Detection Using Machine Learning
Email Spam Detection Using Machine Learning
IRJET Journal
IRJET - Hand Gestures Recognition using Deep Learning
IRJET - Hand Gestures Recognition using Deep Learning
IRJET Journal
Automated attendance system using Face recognition
Automated attendance system using Face recognition
IRJET Journal
Online java compiler with security editor
Online java compiler with security editor
IRJET Journal
Threat Detection System Using Data-science and NLP
Threat Detection System Using Data-science and NLP
IRJET Journal
Automatic Grading of Handwritten Answers
Automatic Grading of Handwritten Answers
IRJET Journal
Deepcoder to Self-Code with Machine Learning
Deepcoder to Self-Code with Machine Learning
IRJET Journal
IRJET- Plagiarism Checker
IRJET- Plagiarism Checker
IRJET Journal
Interactive Voice Response System for College automation
Interactive Voice Response System for College automation
IRJET Journal
IRJET - Mobile Chatbot for Information Search
IRJET - Mobile Chatbot for Information Search
IRJET Journal
UNIQUE STUDENT IDENTITY AND STUDENT PLACEMENT SYSTEM
UNIQUE STUDENT IDENTITY AND STUDENT PLACEMENT SYSTEM
IRJET Journal
Bug Triage: An Automated Process
Bug Triage: An Automated Process
IRJET Journal
IRJET - Labtrust-Android Application for Pathology Laboratory
IRJET - Labtrust-Android Application for Pathology Laboratory
IRJET Journal
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
IRJET Journal
Similar to IRJET- Voice Modulation and Verification for Smart Authentication System
(20)
IRJET- Factoid Question and Answering System
IRJET- Factoid Question and Answering System
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...
IRJET - Neural Network based Leaf Disease Detection and Remedy Recommenda...
IRJET- Speech Based Answer Sheet Evaluation System
IRJET- Speech Based Answer Sheet Evaluation System
IRJET- Deep Web Searching (DWS)
IRJET- Deep Web Searching (DWS)
IRJET- A Novel Approach – Automatic paper evaluation system
IRJET- A Novel Approach – Automatic paper evaluation system
Dotnet datamining ieee projects 2012 @ Seabirds ( Chennai, Pondicherry, Vello...
Dotnet datamining ieee projects 2012 @ Seabirds ( Chennai, Pondicherry, Vello...
Email Spam Detection Using Machine Learning
Email Spam Detection Using Machine Learning
IRJET - Hand Gestures Recognition using Deep Learning
IRJET - Hand Gestures Recognition using Deep Learning
Automated attendance system using Face recognition
Automated attendance system using Face recognition
Online java compiler with security editor
Online java compiler with security editor
Threat Detection System Using Data-science and NLP
Threat Detection System Using Data-science and NLP
Automatic Grading of Handwritten Answers
Automatic Grading of Handwritten Answers
Deepcoder to Self-Code with Machine Learning
Deepcoder to Self-Code with Machine Learning
IRJET- Plagiarism Checker
IRJET- Plagiarism Checker
Interactive Voice Response System for College automation
Interactive Voice Response System for College automation
IRJET - Mobile Chatbot for Information Search
IRJET - Mobile Chatbot for Information Search
UNIQUE STUDENT IDENTITY AND STUDENT PLACEMENT SYSTEM
UNIQUE STUDENT IDENTITY AND STUDENT PLACEMENT SYSTEM
Bug Triage: An Automated Process
Bug Triage: An Automated Process
IRJET - Labtrust-Android Application for Pathology Laboratory
IRJET - Labtrust-Android Application for Pathology Laboratory
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
HAND GESTURE BASED SPEAKING SYSTEM FOR THE MUTE PEOPLE
More from IRJET Journal
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
IRJET Journal
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
IRJET Journal
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
IRJET Journal
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
IRJET Journal
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
IRJET Journal
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
IRJET Journal
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
IRJET Journal
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
IRJET Journal
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
IRJET Journal
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
IRJET Journal
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
IRJET Journal
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
IRJET Journal
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
IRJET Journal
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
IRJET Journal
React based fullstack edtech web application
React based fullstack edtech web application
IRJET Journal
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
IRJET Journal
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
IRJET Journal
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
IRJET Journal
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
IRJET Journal
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
IRJET Journal
More from IRJET Journal
(20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTURE
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...
Effect of Camber and Angles of Attack on Airfoil Characteristics
Effect of Camber and Angles of Attack on Airfoil Characteristics
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...
A REVIEW ON MACHINE LEARNING IN ADAS
A REVIEW ON MACHINE LEARNING IN ADAS
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
P.E.B. Framed Structure Design and Analysis Using STAAD Pro
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...
Survey Paper on Cloud-Based Secured Healthcare System
Survey Paper on Cloud-Based Secured Healthcare System
Review on studies and research on widening of existing concrete bridges
Review on studies and research on widening of existing concrete bridges
React based fullstack edtech web application
React based fullstack edtech web application
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Multistoried and Multi Bay Steel Building Frame by using Seismic Design
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...
Recently uploaded
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
ranjana rawat
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
João Esperancinha
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
KurinjimalarL3
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
upamatechverse
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
rakeshbaidya232001
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
Suhani Kapoor
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Dr.Costas Sachpazis
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
ranjana rawat
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
pranjaldaimarysona
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
ranjana rawat
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
null - The Open Security Community
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
ranjana rawat
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Call Girls in Nagpur High Profile
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
upamatechverse
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Low Rate Call Girls In Saket, Delhi NCR
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur High Profile
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
GDSCAESB
Recently uploaded
(20)
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
The Most Attractive Pune Call Girls Budhwar Peth 8250192130 Will You Miss Thi...
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
Decoding Kotlin - Your guide to solving the mysterious in Kotlin.pptx
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Call Girls in Nagpur Suman Call 7001035870 Meet With Nagpur Escorts
Porous Ceramics seminar and technical writing
Porous Ceramics seminar and technical writing
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANVI) Koregaon Park Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
Sheet Pile Wall Design and Construction: A Practical Guide for Civil Engineer...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
Processing & Properties of Floor and Wall Tiles.pptx
Processing & Properties of Floor and Wall Tiles.pptx
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Isha Call 7001035870 Meet With Nagpur Escorts
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
Exploring_Network_Security_with_JA3_by_Rakesh Seal.pptx
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
(MEERA) Dapodi Call Girls Just Call 7001035870 [ Cash on Delivery ] Pune Escorts
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
Introduction to IEEE STANDARDS and its different types.pptx
Introduction to IEEE STANDARDS and its different types.pptx
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
High Profile Call Girls Nagpur Meera Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Tanvi Call 7001035870 Meet With Nagpur Escorts
GDSC ASEB Gen AI study jams presentation
GDSC ASEB Gen AI study jams presentation
IRJET- Voice Modulation and Verification for Smart Authentication System
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4787 VOICE MODULATION AND VERIFICATION FOR SMART AUTHENTICATION SYSTEM S. VISHNUPRIYA1, J. SUJATHA2 1PG Scholar, Department of MCA, Arulmigu Meenakshi Amman College of Engineering, Anna University, Vadamavandal (near Kanchipuram), India. 2Assistant professor, Department of MCA, Arulmigu Meenakshi Amman College of Engineering, Anna University, Vadamavandal (near Kanchipuram), India. ----------------------------------------------------------------------***--------------------------------------------------------------------- ABSTRACT:- Biometric is physical characteristic unique to each individual. It has a very useful application in authentication and access control. The designed system is a text-prompted version of voice biometric which incorporates text-independent speaker verification and speaker-independent speech verificationsystemimplementedindependently.Thefoundationforthis joint system is that the speech signal conveys boththespeechcontentandspeakeridentity.Suchsystemsare more-securefrom playback attack, since the word to speak during authentication is not previously set. During the course of the project various digital signal processing and pattern classification algorithms were studied. Short time spectral analysis was performed to obtain MFCC, energy and their deltas as feature. Feature extraction module is same for both systems. Speaker modelling was done by GMM and Left to Right Discrete HMM with VQ was used for isolated word modelling. And resultsofbothsystemswere combined to authenticate the user. The speech model for each word was pre-trained by using utterance of 45 English words. The speaker model was trained by utterance of about 2 minutes each by 15 speakers. While uttering the individual words,the recognition rate of the speech recognition system is 92 % and speaker recognition system is 66%. For longer duration of utterance (>5sec) the recognition rate of speaker recognition system improves to 78%. 1. INTRODUCTION A Text involvesTraditional andScientific Methods to improve the quality of the Text to voice recognition. Scientific methods of Text training need to be introduced for further improvement with our present day empirical methodology. The process of enriching the Text is known as Text culture. It involves training the Text to sing or speak in a particular desired way. It is a procedure where one learns to master one‘s Text. This study includes traditional and scientific methods to improvethequalityof Text. Fundamentally Text culture refers to the methodology adapted to train or control the Text to sing effectively. The dynamism, perfect control and freedom of the Text and the uplifting and inspiring effect of the performance. The entire vocalizing mechanism involves coordinated action of various muscles initiated by the brain combined with a sense of purpose to express a thought or idea.―Text culture is the coming together of an understanding of science (to a high degree) with the physical feel of the Text. We will have to understand the terms anchoring, focusing, erection and fusion of the Text itself. 2. SYSTEM ANALYSES 2.1 Existing System Currently the viable authentication mechanisms is use are password or PIN based. A user wishers to beauthenticated enters a short string or a number which is supposedlyeasy to remember, but is easy to forget and the authenticating machine checks the hash of the password against a stored hash in a database. If a user were to forget his or her password or it was stolen by someone wishing to steal the user’s identities of the user becomes endangered and easy to compromise. A common solution to the problem is to implement a biometric authentication mechanism such as retina scans or fingerprint based authentication. The advantage of this a retina or a fingerprint cannot be forgotten and it is unique to each user. Whilesucha system us extremely difficult to compromise, the cost of implementation restricts its development. In addition, if such biometric data was in fact compromised, the result would be disastrous for the user- he or she cannot change fingerprints or retinas. 2.2 Proposed System: The system proposed to solve both theproblemof password based authentication and biometric authentication is via Text Verification Using Back Propagation. The hardware necessary for Text verification is inexpensive and it can be deployed in (E.g. credit card machines in stores, tablet PCs, ATM machine).The system is proposed to overcome authenticating problem in Text verification withthehelp of Back propagation Algorithm. Any person in this world can never sign a same Text every time in their life time. His/her Text will be differing from time to time. When the user is in a calm mood the Text will be very different than the Text of the same user in a hurry or in a bad mood. So to overcome this problem Back propagation Algorithm this is one of the best neural network techniques to train the artificial neuron to recognize the different type of Text of same user. If the neurons are fine-tuned they can provide us the best authentication security.
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4788 3. SOFTWARE REQUIREMENT SPECIFICATIONS 3.1 Introduction to .NET Framework The Microsoft .NET Framework is a software technology that is available with several software windows operating systems. It includes a large library ofpre-codedsolutionsto common programming problems and a virtual machine that manages the execution of the programs written specifically for the framework. The pre-coded solutions that form the framework’s Base Class Library cover a large range of programming needs ina numberofareas, including user, interface, data access, database connectivity, cryptography, web application development, numeric algorithms and network communications. The class library is used by programmers, who combine if with their own code to produce applications. Programmers written for the .NET framework executes in the software environment that manages the program’s runtime requirements. Also part of the .NET framework, this runtime environment is known as the common Language Runtime (CLR). 4. SYSTEM IMPLEMENTATION: 4.1 USER DETAILS MANAGEMENT: In this module user details along with user original Text is stored in the database. The Text will beconvertedinto binary format & stored as OLE objectindatabase.Initiallythe variance for comparison is set to an acceptable value. All the database operations are doneinSQL usingstoredprocedures concept. 4.2 TEXT CAPTURING: 4.4 TEXT RETIEVAL FROM DATABASE 4.4.1 LEARNING TEXT In this module a new Text is got from user as input, after that Text is processed as follows. The number of Text strokes, timing of strokes, Text proportions and stroke length. If any of the process results in variance less than the initial variance, then absolute difference are calculated between the new variance and initial variance. If the error or difference is not minimized to a value, the average is taken between new and initial variance. This average is taken as a input variance for another new Text. Again the difference is calculated if the error is not minimized the above process is repeated until error is minimized. The application user must stop only if he is satisfied with the result. If the error is minimized final variance and last error is stored in database, for next phase of verifying Text. 4.4.2 TEXT PROPORTION VERIFICATION The Text proportion we use both the height and width will be checked. For finding the height and width of the Text it use the Get Bounding Box () method. This method return the height and width value of the Text. This method returns the height and width of every node in the Text. Using the height and width oftheTexttheverification is done separately for height of the Text and the width of the Text separately. 4.4.3 TEXT PROPRTION IN WIDTH The width of the both the Text is found using the GetBoundingBox() method and by combining the width of two Text the output variance will be calculated and this output variance is compared with the input variance and if the output variance is greater than input variance then the Text is rejected. 4.4.4 TEXT PROPRTION IN HEIGHT The Height of the both the Text is found using the GetBoundingBox() method and by combining the width of two Text the output variance will be calculated and this output variance is compared with the input variance and if the output variance is greater than input variance then the Text is rejected.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4789 4.5 Modulation Techniques The Communications Toolbox™ supports modulation these techniques for digital data. All the methods at the far right are implemented in library blocks. Like analog modulation, digital modulation alters a transmittable signal according to the information in a message signal. However, for digital modulation the message signal is restricted to a finite set. Modulation functions output the complex envelope of the modulated signal. Using the Communications Toolbox, you can modulate or demodulate signals using various digital modulation techniques, and plot signal constellations. 5. UML DIAGRAM UML standsforUnifiedModelingLanguage.UMLis a standardized general-purpose modeling language in the field of object-orientedsoftwareengineering.Thestandard is managed, and was created by, the Object Management Group. The goal is for UML to become a common language for creating models of object oriented computer software. In its current form UML is comprised of two major components: A Meta-model and a notation. In the future, some form of method or process may also be added to or associated with UML. The Unified Modeling Language is a standard language for specifying, Visualization, Constructing and documenting the artifacts of software system, as well as for business modeling and other non- software systems. The UML represents a collection of best engineering practices that have proven successful in the modeling of large and complex systems. The UML is a very important part ofdeveloping objectsorientedsoftwareand the software development process. The UML uses mostly graphical notations to express the design of software projects. 5.1 ER DIAGRAM: 5.2 CLASS DIAGRAM: In software engineering, a class diagram in the Unified Modeling Language (UML) is a type of static structure diagram that describes the structure of a system by showing the system's classes, their attributes, operations (or methods), and the relationships among the classes. It explains which class contains information. 5.3 SEQUENCE DIAGRAM: A sequence diagram in Unified Modeling Language (UML) is a kind of interaction diagram that shows how processes operate with one another and in what order. It is a construct of a Message Sequence Chart. Sequence diagrams are sometimes called event diagrams, event scenarios, and timing diagrams.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4790 6. SYSTEM TESTING Testing virtual to the success of the system. System testing makes logical assumption that if all the parts system are correct, the goal will be successfully achieved. This system is tested by following test cases and prepared for final implementation. 6.1 TYPES OF TESTING 6.2.1 UNIT TESTING Unit testing involves the design of test cases that validate that the internal program logic is functioning properly, and that program input produces valid outputs. All decision branches and internal code flow should be validated. It is the testing of individual softwareunitsofthe application. It is done after the completion of an individual unit before integration. This is a structural testing, that relies on knowledge of its constructionandisinvasive.Unit tests perform basic tests at component level and test a specific business process, application, and/or system configuration. Unit tests ensure that each unique path of a business process performs accurately to the documented specifications and contains clearly defined inputs and expected results. 6.2.2 INTEGRATION TESTING Integration tests are designed to test integrated software components to determine if they actually run as one program. Integration tests demonstrate that although the components were individually satisfaction, as shown by successfully unit testing, the combination of components is correct andconsistent.Integrationtestingis specifically aimed at exposing the problemsthatarisefrom the combination of components. 6.2.3 FUNCTIONAL TESTING Functional tests provide systematic demonstrations that functions tested are available as specified by the business and technical requirements, system documentation and user manuals. 6.2.4 SYSTEM TESTING System testing ensures that the entire integrated software system meets requirements. It tests a configuration to ensure known and predictable results.An example of system testing is the configuration oriented system integration test. System testing is based on process descriptions and flows, emphasizing pre-driven process links and integration points. 6.2.5 WHITE BOX TESTING White Box Testing is a testing in which in which the software tester has knowledge of the inner workings, structure and language of the software, or at least its purpose. It is purpose. It is used to test areasthatcannot be reached from a black box level. 6.2.6 BLACK BOX TESTING Black Box Testing is testing the software without any knowledge of the inner workings, structure or language of the module being tested. Black box tests, as most other kinds of tests, must be written from a definitive source document, such as specification or requirements document, such as specification or requirements document. It is a testing in which the software undertestis treated, as a black box .you cannot “see” into it. The test provides inputs and responds to outputs without considering how the software works. 6.2.7 ACCEPTANCE TESTING User Acceptance Testing is a critical phase of any project and requires significant participation by the end user. It also ensures that the system meets the functional requirements. Functional testing is centered on the following items: Valid Input : identifiedclassesofvalid input must be accepted. Invalid Input : identified classes of invalid input must be rejected. Functions : identifiedfunctionsmust be exercised. Output : identified classes of application outputs must be exercised. Systems/Procedures.
5.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4791 7. OTHER TESTING METHODOLOGIES 7.1 User Acceptance Testing User Acceptance of a system is the key factor for the success of any system. The system underconsideration is tested for user acceptancebyconstantlykeepingintouch with the prospective system users at the time of developing and making changes wherever required. The system developed provides a friendly user interface that can easily be understood even by a person who is new to the system. 7.2 Output Testing After performing the validation testing, the next step is output testing of the proposed system, since no system could be useful if it does not produce the required output in the specified format. Asking the users about the format required by them tests the outputs generated or displayed by the system under consideration. Hence the output format is considered in 2 ways – one is on screen and another in printed format. 7.3 Validation Checking Validation checks are performed on the following fields. 7.4 Text Field: The text field can contain only the number of characters lesser than or equal to its size. The text fields are alphanumeric in some tables and alphabetic in other tables. Incorrect entry always flashes and error message. 7.5 Numeric Field: The numeric field can contain only numbersfrom 0 to 9. An entry of any character flashes an error messages. The individual modules are checked for accuracyandwhat it has to perform. Each module is subjected to test run along with sample data. The individually tested modules are integrated into a single system. Testing involves executing the real data information is used in the program the existence of any program defect is inferred from the output. The testing should be planned so that all the requirements are individually tested. A successful test is one that gives out the defects for the inappropriate data and produces and output revealing the errors in the system interfacing systems or procedures must be invoked. 8. CONCLUSION In this project, I have presented an exercise survey of smart authentication system, I have categorized the modules in speaker recognition and discussed different approaches for each module. In addition to this, I have presented study of the various typical searchbeingcarried out in the field of speaker recognition. I have also discussed issued and challenges pertaining to the speaker recognition system and face recognition system for smart authentication systems.And alsoIdidsmartauthentication for large sectors for security purpose. This project is used for security or Network Security by the coming generation to used this security system. 9. FUTURE ENHANCEMENT The purpose of this module is to convert the speech wave form to some type of parametric representation at a considerably rate. The heart of any speaker recognition features from the speech and face recognition. They are basically categorized into level of speech and level of authentication. The version of Text and face recognition is going to be help of the security purpose. The Text Modulation and verification is helps to the banking sector and other sectors to be used in future. Modulation of Text and Recognition of face is the high level security of the Smart Authentication System. 10. REFERENCES: 1) McCallum and W. Li, “Early results for named entity recognition with conditional random fields, feature induction and web-enhancedlexicons,“inProceedings of the Seventh Conference on Natural Language Learning at HLT-NAACL 2003 - Volume 4, ser. CONLL ’03, Stroudsburg, PA, USA, 2003, pp. 188–191. 2) Zhou and J. Su, “Named entity recognition using an hmm-based chunk tagger,” in Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, ser. ACL ’02, Stroudsburg, PA, USA, 2002,pp. 473–480. 3) D. M. Blei, A. Y. Ng, and M. I. Jordan, “Latent dirichlet allocation,” J Mach. Learn. Res., vol. 3, pp. 993–1022, 2003. 4) M.Rosen-Zvi, T. Griths, M. Steyvers, and P. Smyth, “The author-topic model for authors and documents,” in Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, ser. UAI ’04, Arlington, Virginia, United States, 2004, pp. 487–494. 5) R. Mihalcea and A. Csomai,“Wikify!linkingdocuments to encyclopedic knowledge,” in Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, ser. CIKM ’07, New York, NY, USA, 2007, pp. 233–242. 6) D. Milne and I. H. Witten, “Learning to link with wikipedia,” in Proceedingsof the17thACMconference on Information and knowledge management, ser. CIKM ’08, New York, NY, USA, 2008, pp. 509–518. 7) S. Kulkarni, A. Singh, G. Ramakrishnan, and S. Chakrabarti, “Collective annotation of wikipedia entities in web text,” in Proceedings of the 15th ACM
6.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 04 | Apr 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 4792 SIGKDD international conference on Knowledge discovery and data mining,ser.KDD’09,NewYork,NY, USA, 2009, pp. 457–466. 8) X. Han and J. Zhao, “Named entity disambiguation by leveraging Wikipedia semantic knowledge,” in Proceedings of the 18th ACM conference on Information and knowledge management, ser. CIKM ’09, NewYork, NY, USA, 2009, pp. 215–224. 9) “Structural semantic relatedness: A knowledge-based method to named entity disambiguation,” in Proceedings of the 48th Annual Meeting of the Association forComputational Linguistics,ser.ACL’10, Stroudsburg, PA, USA, 2010, pp. 50–59. 10) X. Han, L. Sun, and J. Zhao, “Collective entity linking in web text: A graph-based method,” in Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, ser. SIGIR ’11, New York, NY, USA, 2011, pp. 765–774.
Download now