scholarly journals VOICE SPEAKER IDENTIFICATION AS ONE OF THE CURRENT BIOMETRIC METHODS OF IDENTIFICATION OF A PERSON

2020 ◽  
Vol 19 (1) ◽  
pp. 239-255
Author(s):  
K. Lutsenko ◽  
K. Nikulin
Keyword(s):  
Information Technologies ◽  
Speaker Identification ◽  
Low Cost ◽  
Voice Recognition ◽  
Audio Signal ◽  
Modern Society ◽  
Mathematical Methods ◽  
Practical Applications ◽  
Voice Biometrics ◽  
The Voice

The article deals with the most widespread biometric identification systems of individuals, including voice recognition of the speaker on video and sound recordings. The urgency of the topic of identification of a person is due to the active informatization of modern society and the increase of flows of confidential information. The branches of the use of biometric technologies and their general characteristics are given. Here is an overview of the use of identification groups that characterize the voice. Also in the article the division of voice identification systems into the corresponding classes is given. The main advantages of voice biometrics such as simplicity of system realization are considered; low cost (the lowest among all biometric methods); No need for contact, the voice biometry allows for long-range verification, unlike other biometric technologies. The analysis of existing methods of speech recognition recognition identifying a person by a combination of unique voice characteristics, determining their weak and strong points, on the basis of which the choice of the most appropriate method for solving the problem of text-independent recognition, Namely the model of Gaussian mixtures, was carried out. The prerequisite for the development of speech technologies is a significant increase in computing capabilities, memory capacity with a significant reduction in the size of computer systems. It should also be Noted the development of mathematical methods that make it possible to perform the Necessary processing of an audio signal by isolating informative features from it. It has been established that the development of information technologies, and the set of practical applications, which use voice recognition technologies, make this area relevant for further theoretical and practical research.

scholarly journals COMPARISON BETWEEN HAAR AND DAUBECHIES WAVELET TRANSFORMIONS ON FPGA TECHNOLOGY

2014 ◽  
pp. 23-29
Author(s):  
Fatma H. Elfouly ◽  
Mohamed I. Mahmoud ◽  
Moawad I. M. Dessouky ◽  
Salah Deyab
Keyword(s):  
High Performance ◽  
Low Cost ◽  
Audio Signal ◽  
Design Procedure ◽  
Discrete Wavelet ◽  
Analysis Tool ◽  
Daubechies Wavelet ◽  
Daubechies Wavelets ◽  
Real Time Processing ◽  
Practical Applications

Recently, the Field Programmable Gate Array (FPGA) technology offers the potential of designing high performance systems at low cost. The discrete wavelet transform has gained the reputation of being a very effective signal analysis tool for many practical applications. However, due to its computation-intensive nature, current implementation of the transform falls short of meeting real-time processing requirements of most application. The objectives of this paper are implement the Haar and Daubechies wavelets using FPGA technology. In addition, the comparison between the Haar and Daubechies wavelets is investigated. The Bit Error Rat (BER) between the input audio signal and the reconstructed output signal for each wavelet is calculated. It is seen that the BER using Daubechies wavelet techniques is less than Haar wavelet. The design procedure has been explained and designed using the stat-of-art Electronic Design Automation (EDA) tools for system design on FPGA. Simulation, synthesis and implementation on the FPGA target technology has been carried out.

scholarly journals Implementation of Voice Recognition Via CNN and LSTM

2020 ◽  
Vol 9 (4) ◽  
pp. 1842-1844
Keyword(s):  
Feature Extraction ◽  
Low Cost ◽  
Voice Recognition ◽  
Recognition System ◽  
Computational Costs ◽  
The Voice

The voice recognition system uses CNN a lot. This is because CNN has the optimized ability to recognize and classify targets. CNN, however, has a problem that the bigger the object to be recognized, the more expensive the computational costs are. In this paper, we are going to solve these problems through MFCC feature extraction and model roll combining CNN and LSTM to present the possibility of performing voice recognition even through low-cost devices.

scholarly journals Remote Control using Voice Recognition based on Arduino

2019 ◽  
Vol 12 (3) ◽  
pp. 22-28
Author(s):  
Jinan N. Shehab
Keyword(s):  
Remote Control ◽  
Low Cost ◽  
Voice Recognition ◽  
Recognition System ◽  
Home Automation ◽  
Easy Method ◽  
C Language ◽  
Infrared Technology ◽  
Data Coordination ◽  
The Voice

Home automation becomes important, because it gives the user convenient and easy method to use home appliances. This paper aims to help people with special needs or physical disabilities and injuries by paralysis to control any device using infrared technology using voice commands based on the voice recognition system (voice recognition unit V3) system can recognize voice commands, convert them to desired data coordination and data transmission via IR transmitter and microcontroller (Arduino Uno) Receiving this signal by IR sensor to control TV receiver then get a full remote control that works by voice commands. The software consists of a Micro C language programmable microcontroller. This system is of low cost and flexible with growing variety of devices that can be controlled.

scholarly journals A Bio-Crypto Protocol for Password Protection Using ECC

2015 ◽  
Vol 4 (1) ◽  
pp. 67-72
Author(s):  
Srinivasan Nagaraj ◽  
G.V.S.P. Raju ◽  
G Apparao ◽  
B. Kishore
Keyword(s):  
Low Cost ◽  
Brute Force ◽  
Public And Private ◽  
Voice Input ◽  
Cryptographic Keys ◽  
Password Protection ◽  
Brute Force Attack ◽  
High Level ◽  
Voice Biometrics ◽  
The Voice

In  information  security the  following security parameters like, integrity , non repudiation and confidentiality , authentication   must be satisfied.  To avoid thievery of organization resources  it needs be secured in more efficient way  and there is always demand  for different levels of security attacks include virus , brute force and Eveadroper  in business that  organizations make use of voice biometrics an attractive low-cost. Voice biometrics is the  cheapest  among the  other biometrics and used all levels for management to buy readily available metric and it is the way of  identifying individuals remotely  with high level of accuracy . In this work, we have been designed a  new  password- authentication approach  that provides security  using voice biometrics for authentication and uses the device  itself into an authenticator which uses  voice itself as its passwords and we are primarily interested in keys that can be temporally reproduced on the same device from the same user’s voice. Public and private keys are generated  randomly from the user's voice  and stored in the voice file(.wav).This Method uses voice recognition , include the operation of  register( recording feature ) or voice prints  and  storing of one or more voice passwords into the  database. It uses ECDSA to perform the authentication process that matching the  voice sample  with the database. The recognition, entity makes the database  to decide that  the sample is matched to perform an operation or not. Our proposed approach  generates cryptographic keys from voice input itself and this algorithm developed an adhoc basis. It can effectively defend  attacks specially brute force attack in system networks.

scholarly journals Design and Implementation of Modernised Dental Chair using Voice Recognition Control Circuit

2019 ◽  
Vol 8 (9S2) ◽  
pp. 355-357
Keyword(s):  
Low Cost ◽  
Voice Recognition ◽  
Continuous Operation ◽  
Control Circuit ◽  
Voice Command ◽  
Design And Implementation ◽  
Dental Chair ◽  
The Voice

Generally, in hospitals the dental chair can be operated forward/backward or upward/downward according to the treatment for the patients which is operated by human. Sometimes the chair will not function properly due to piston rust and over weighted patient and the dentist may have pain in the legs due to continuous operation of the chair. To overcome these issues, planning to design a voice recognition dental chair for the doctors in hospitals. This project describes the design of a smart, motorized, voice controlled dental chair. The voice command is given by the dentist/human, sensor recognizes the voice and sends the command to the Arduino. This voice command is converted to string and it is responsible for movement of chair. The intelligent dental chair is designed in such a way that it can be controlled easily by the doctor and has an advantage is the low cost design. This system was designed and developed to avoid wasting the energy and time of the doctor

scholarly journals Alliance of «Lyricists» and «Physicists» in the Context of Digital Technology Application

2018 ◽  
Vol 28 (4) ◽  
pp. 570-575 ◽  
Author(s):  
Alexander Sukhodolov ◽  
Sergey Timofeev
Keyword(s):  
Mass Media ◽  
Liberal Arts ◽  
Information Technologies ◽  
New Technologies ◽  
Technology Development ◽  
Editorial Policy ◽  
Modern Society ◽  
Mathematical Education ◽  
Mathematical Methods ◽  
Technology Application

Intellectual potential of modern society is determined by application of new types of thinking, by development of new kinds of activities and new technologies. One of the results of implementation/exploitation of this potential is establishment of Culture, Social Communications and Information Technologies Institute at Baikal State University. The possibility of bringing together humanitarian and mathematical education within one university section is substantiated in this article. Examples are given how efficient mathematical methods can be used for some liberal arts studies. Implementation potential of mathematical methods in Mass Media in the light of modern trends of technology development is considered. It is shown by the example of major players of the Western Online Media market that Big Data technologies can not only significantly improve the accuracy of audience measurement but also influence the editorial policy of Media. The results of mathematical studies in the field of Mass Media at Baikal University are described.

Design and Implementation of Speech Recognition System Based on FPGA

2013 ◽  
Vol 416-417 ◽  
pp. 1156-1159
Author(s):  
Bo Nian Yi
Keyword(s):  
Speech Recognition ◽  
Information Technologies ◽  
Voice Recognition ◽  
Recognition System ◽  
Recognition Algorithm ◽  
Characteristic Parameters ◽  
The Core ◽  
New Information ◽  
And Control ◽  
The Voice

Speech recognition technology is one of the hottest and the most promising new information technologies in the world. This paper studied the voice pretreatment and extractions of MFCC characteristic parameters, constructed speech keywords recognition algorithm with the core of the VQ model and the HMM model, using MATLAB to complete the training and simulation of algorithm, FPGA-based voice recognition technology, and the simulation and implementation of its hardware and software. It laid the foundation for the realization of speech recognition and control based FPGA.

scholarly journals The Voice Biometrics Based on Pitch Replication

2018 ◽  
Vol 6 (10) ◽  
pp. 351-358
Author(s):  
L.C. Moreno ◽  
P.B. Lopes
Keyword(s):  
Human Body ◽  
Speaker Identification ◽  
Automated Systems ◽  
System User ◽  
Speech Feature ◽  
Voice Biometrics ◽  
The Voice ◽  
Authentication And Security

Authentication and security in automated systems have become very much necessary in our days and many techniques have been proposed towards this end. One of these alternatives is biometrics in which human body characteristics are used to authenticate the system user. The objective of this article is to present a method of text independent speaker identification through the replication of pitch characteristics. Pitch is an important speech feature and is used in a variety of applications, including voice biometrics. The proposed method of speaker identification is based on short segments of speech, namely, three seconds for training  and three seconds for the speaker determination. From these segments  pitch characteristics are extracted  and are used in the proposed method of replication for identification of the speaker.

scholarly journals Application of Voice Biometrics in Protection Systems and Crime Fighting

2012 ◽  
Vol 4 (2) ◽  
Author(s):  
Saša Paunović ◽  
Lazar Nešić ◽  
Jovan Kovačević
Keyword(s):  
Speaker Recognition ◽  
Speaker Identification ◽  
Verbal Communication ◽  
Protection Systems ◽  
Voice Biometrics ◽  
Financial Transactions ◽  
The Voice

Modern communication relies increasingly more on the verbal communication between a machine and a human, aiming to govern certain resources and robots, increase the security of certain means, initiate certain processing protocols, faster financial transactions... This paper illustrates the possibility of using the voice biometrics in modern living, from simple examples, such as starting the motor of a vehicle, through opening security gates, to proving fraud and embezzlement. Special emphasis has been put on the systems of automatic speaker identification and forensic speaker recognition.

scholarly journals Biometric identity systems in law enforcement and the politics of (voice) recognition: The case of SiiP

2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110636
Author(s):  
Fieke Jansen ◽  
Javier Sánchez-Monedero ◽  
Lina Dencik
Keyword(s):  
Law Enforcement ◽  
Speaker Identification ◽  
Voice Recognition ◽  
Freedom Of Information ◽  
Biometric Data ◽  
Finger Printing ◽  
Integrated Project ◽  
And Gender ◽  
Voice Biometrics ◽  
The Impact

Biometric identity systems are now a prominent feature of contemporary law enforcement, including in Europe. Often advanced on the premise of efficiency and accuracy, they have also been the subject of significant controversy. Much attention has focussed on longer-standing biometric data collection, such as finger-printing and facial recognition, foregrounding concerns with the impact such technologies can have on the nature of policing and fundamental human rights. Less researched is the growing use of voice recognition in law enforcement. This paper examines the case of the recent Speaker Identification Integrated Project, a European wide initiative to create the first international and interoperable database of voice biometrics, now the third largest biometric database at Interpol. Drawing on Freedom of Information requests, interviews and public documentation, we outline the emergence and features of SiiP and explore how voice is recognised and attributed meaning. We understand Speaker Identification Integrated Project as constituting a particular ‘regime of recognition’ premised on the use of soft biometrics (age, language, accent and gender) to disembed voice in order to optimise for difference. This, in turn, has implications for the nature and scope of law enforcement, people's position in society, and justice concerns more broadly.

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