Overview of speaker recognition, a biometric modality that uses an individuals voice for recognition purposes. The most common are voice recognition, signature dynamics speed of movement of pen, accelerations, pressure exerted, inclination, keystroke dynamics, the way we use objects, gait, the sound of steps. Both are contactless, software based technologies, and as such are counted among the most convenient biometrics in regular use. People are wary of change, often for good reason, but passwords have their own longstanding problems and. With just a simple spoken passphrase such as my voice is my password, voice biometrics allows consumers to be securely authenticated when they connect with a service provider via a call center or ivr, a mobile app, or the web, improving the overall service experience for the consumer, and delivering substantial time and cost savings to the enterprise. Pdf biometric voice recognition in security system researchgate. Ato touts voice biometrics success strategy itnews. Biometrics automatic recognition of people from physical attributes like their face, voice, iris or fingerprints has been around for a while but is now developing and spreading rapidly, driven by. According to their dissimilar quality they can be used in different environments. Biometrics identify people by measuring some aspect of individual anatomy or physiology such as your hand geometry or fingerprint, some deeply ingrained skill, or other behavioral characteristic such as. Speaker dependent voice recognition relies on the knowledge of candidates particular voice. It is used in handfree computing, map, or menu navigation. Ppt voice biometrics powerpoint presentation free to view.
Specifically, i want to develop an application which will record a voice from the telephone, and identify the speaker. Physical shape, size, and health of a persons vocal cord, and lips, teeth, tongue, and mouth cavity. Biometrics automatic recognition of people from physical attributes like their face, voice, iris or fingerprints has been around for a while but is now developing and spreading rapidly, driven by advances in sensors and algorithms. It is not the case in biometric forensics, where realtime recognition is not a requirement. Biometric security system seminar and ppt with pdf report. Recognizing humans based on physical and behavioral. The word biometrics is taken from the greek word which is made up of two words bios and metrics.
We present an analysis of current voice biometric software, propose a security policy for a voice authentication system, and provide two different implementations of potential voice authentication. The use of biometrics on mobile devices has, in particular, attracted a lot of public and media interest. Like other biometric applications do here my need is to do a voice biometric. Biometric news biometric articles biometric companies. Speaker recognition is a pattern recognition problem. Pdf voice recognition and authentication as a proficient. Biometrics are automated method in which we recognize a person with his behavioral or physiological characteristic. However, important additional biometrics related work is being undertaken by the fbi laboratory, such as dna activities, while voice and face recognition initiatives are being pursued in our.
Speaker recognition introduction speaker, or voice, recognition is a biometric modality that uses an individuals voice for recognition purposes. The various technologies used to process and store voice prints include frequency estimation, hidden markov models, gaussian mixture models, pattern. Voice biometrics works by digitizing a profile of a persons speech to produce a stored model voice print, or template. It is used to identify a person by analyzing its tone, voice pitch, and accent.
Jun 14, 2016 moving forward, voice biometric authentication is full of both promise and peril. Even lowquality smartphones can accurately record a persons voice. However, voice recognition technology has not been as widely adopted and utilized as the other biometric technologies examined in previous articles iris recognition, fingerprint recognition, hand geometry recognition, and facial recognition. And now researchers say theyve found a way to overcome its. Voice recognition modalities there are two variants of voice recognition. The calibration of voice biometrics solutions requires detailed analyses of spoken texts and in this context we investigate by computational means the rankfrequency distributions of romanian. With just a simple spoken passphrase such as my voice is my password, voice biometrics allows consumers to be securely authenticated when they connect with a service provider via a call center or. The first scientific method of biometric identification was developed in. A library that gives you access to the voiceits api 2. It belongs in a category called speaker recognition or voicebased biometrics. The rise of voice biometrics for mobile phones mit. An overview and analysis of voice authentication methods annie shoup, tanya talkar, jodie chen, anubhav jain ashoup, tjtalkar, jodiec, ajain94 abstractcurrent solutions for passwords and authentication are insecure and have been hacked very regularly. Voice verification technology uses the different characteristics of a persons voice to discriminate between speakers.
Voice recognition and authentication as a proficient biometric tool and its. The technology passively authenticates customers who call in, and the company has emphasized the high level of security voice biometrics has brought to its phone operations. Nist has been conducting research in the area of biometrics for over 60 years, with work on fingerprint technologies for the fbi to support law enforcement and forensics dating back to the 1960s. It is a rapidly evolving field with applications ranging from securely accessing ones computer to gaining entry into a country. When applied in the ivr, most voice biometrics solutions require active authentication, meaning that the end. Access biometric research, and get your company listed in our industry directory. An overview and analysis of voice authentication methods. Voice and speech recognition are two separate biometric modalities that, because they are dependent on the human voice, see a considerable amount of synergy. In this paper, we will examine the biometric authentication using voice, specifying first of all how it works, the problems connected to its usage like legal and privacy issues and ultimately, the attack risks that.
As more and more information is on the internet, the need for secure authentication has be. Voice recognition is a fascinating field spanning several areas of computer. The rise of voice biometrics for mobile phones voice biometrics is the obvious choice for authentication over a mobile phone. Jain, fellow, ieee, arun ross, member, ieee, and salil prabhakar, member, ieee.
Facial recognition is the most natural means of biometric identification. Accuracy of voice biometrics can diminish as we age. But the biggest issue with speech recognition is how easy it is to create a highquality reproduction of a persons voice. Automated speech recognition asr is a key aspect of technologies such as interactive voice response ivr, invehicle entertainment and emergency services, mobile e. Get the latest news, articles and insights for biometrics and related industries. Speaker recognition is one of a broad range of technologies called biometrics that can identify people based on physical properties such as the sound of their voice, their fingerprint, the. Vocal disguises and impersonations may fool voice recognition authentication.
Jan 09, 2015 biometrics seminar and ppt with pdf report. Alphonse bertillon, chief of the criminal identification division of the police. How are voice and speech recognition making a difference. Amaiz is teaming up with validsoft to secure client interactions with vocal biometrics. People are wary of change, often for good reason, but passwords have their own longstanding problems and it is clear that voice biometric authentication is cropping up in more and more places. The voice is analyzed for over 140 factors against a voiceprint that is impossible to spoof or duplicate and. Biometrics identify people by measuring some aspect of individual anatomy or physiology such as your hand geometry or fingerprint, some deeply ingrained skill, or other behavioral characteristic such as your handwritten signature, or something that is a combination of the two such as your voice. Voice biometrics work by comparing a persons voice to a voiceprint stored on file. Automated speech recognition asr is a key aspect of technologies such as interactive. In this paper, we will examine the biometric authentication using voice, specifying first. Jan 01, 2018 vocal disguises and impersonations may fool voice recognition authentication.
Recognizing humans based on physical and behavioral traits. Introduction humans have used body characteristics such as face, voice, gait, etc. An overview and analysis of voice authentication methods annie shoup, tanya talkar, jodie chen, anubhav jain ashoup, tjtalkar, jodiec, ajain94 abstractcurrent solutions for passwords and au. Voice biometrics technologies do not know what a person is saying, relying on speech recognition to do that. And now researchers say theyve found a way to overcome its usual. Speech and voice recognition white paper th is white paper diff erentiates between speech recognition and speakervoice recognition and provides a basic analysis of. Voice recognition in biometrics tutorial 22 march 2020. Amaiz is a banking and bookkeeping company that works primarily with small businesses, and will be. Recognition decisions in biometric systems have to be taken in realtime and, therefore, computing efficiency is key in biometric apps. The speech recognition aims at understanding and comprehending what was spoken. Biometric recognition, or simply biometrics, is the science of establishing the identity of a person based on physical or behavioral attributes. Swisscom, one of switzerlands biggest telecoms, recently implemented voice recognition in its call centers. Even lowquality smartphones can accurately record a persons voice, complete with inflections, tone, and accents. The different techniques used are the subject of ongoing research and development, and, of course, are being improved continuously.
Various types of biometric systems are being used for realtime identification. Biometrics are used to identify a person on the basis of its vital statistics. Speech recognition is a class of nonbiometric technologies that identify the. Voice biometrics is essentially a voice signature, allowing customers to speak on the dotted line. Multimodal biometric authentication solutions nuance uk. This hasnt stopped speaker recognition and similar technologies from gaining mainstream adoption. Voice biometrics voice biometrics works by comparing a persons voice to a voiceprint stored on file. Youre the voice the science behind speaker recognition tech. Speech recognition software development voice app development. Dec 05, 2012 the rise of voice biometrics for mobile phones voice biometrics is the obvious choice for authentication over a mobile phone. The objective of voice recognition is to recognize who is speaking. The voice is analyzed for over 140 factors against a voiceprint that is impossible to spoof or duplicate and cannot be reused if stolen.
Challenges and opportunities addresses the issues surrounding broader implementation of this technology, making two main points. Nov 04, 20 for the sake of clarity, we call it voice biometrics. Speech and voice recognition white paper th is white paper diff erentiates between speech recognition and speaker voice recognition and provides a basic analysis of respective market size. Biometrics based technologies are applied most often in security monitoring, and fraud. In the same way that everyone has a unique fingerprint or retina, voice biometrics technology is used to identify a person through their voice patterns. A wide range of possibilities exist for parametrically representing the speech signal for the voice recognition system such as melfrequency cepstrum coefficients. The various technologies used to process and store voice prints include frequency estimation, hidden markov models, gaussian mixture models, pattern matching algorithms, neural networks, matrix representation, vector quantization and decision trees. While the ato is keeping tightlipped on whether its voice biometrics service will be one of. Speaker recognition voice recognition speech recognition. Voice recognition is a type of technology which identifies the candidates voice as an input device. I want to develop an application based on voice biometric recognition. Voice recognition biometric modality is a combination of both physiological and behavioral modalities.
The most common are voice recognition, signature dynamics speed of movement of pen, accelerations, pressure exerted, inclination, keystroke dynamics, the way we use objects, gait, the sound of steps, gestures, etc. If the same person calls again it will recognize the voice. Biometric based authentication provides a promising solution because voice biometrics, like. Biometric authentication is the verification of a users identity by. Handbook of fingerprint recognition download ebook pdf. Voice recognition and authentication as a proficient biometric tool. Voice recognition is nothing but sound recognition. Most biometrics systems have a high accuracy rate more than 95 percent when matching a biometric against a large database of biometrics or against the originally enrolled biometric. Biometrics is the measurement of physiological characteristics like but not limited to fingerprint, iris patterns, or facial features that can be used to identify an individual. For the sake of clarity, we call it voice biometrics. Amaiz is a banking and bookkeeping company that works primarily with small businesses, and will be deploying validsofts voice recognition technology to verify the identities of its customers. An introduction to voice biometrics call centre helper.
Eye recognition technologies, often used in highsecurity environments, now are being integrated into consumer uses for personal banking electronic payments. Moving forward, voice biometric authentication is full of both promise and peril. Biometric voice recognition in security system article pdf available in indian journal of science and technology 72. Challenges and opportunities the national academy of sciences is a private, nonprofit, selfperpetuating society of distinguished scholars engaged in scientific and engineering research, dedicated to the furtherance of science and technology and to their use for the general welfare. Speech and voice recognition white paper biometric update. The technology identifies the words a speaker says. Second, biometric recognition is an inherently probabilistic endeavor. However, voice recognition technology has not been as widely adopted and utilized as the other biometric technologies examined in previous articles iris recognition, fingerprint recognition, hand geometry. Aug 15, 2015 biometric security system seminar and ppt with pdf report. The voice is analysed for over 140 factors against a voiceprint that is impossible to spoof or duplicate and cannot be reused. Biometric security system seminar pdf report and ppt. Voice biometrics can be applied to secure selfservice applications and can even listen to a conversation with an agent to. Multimodal biometrics multimodal biometrics refers to a fusion of biometrics.
412 306 461 909 160 1679 716 1444 1255 906 489 797 243 931 1568 602 1332 746 326 1311 810 410 290 935 112 648 982 1014 1679 1097 438 1484 396 282 878 1315 457 673 841 799