Voice biometrics

Markowitz, Judith

doi:10.1145/348941.348995

Cited by 77 publications

(27 citation statements)

References 3 publications

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“…The application of voice biometry also enables auditors to access company's data by comparing their voices to a specific sample in the database [6].…”

Section: Voice Biometrics In a Contemporary Business Worldmentioning

confidence: 99%

Application of Voice Biometrics in Protection Systems and Crime Fighting

Paunović

Nešić

Kovačević

2012

JITA

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Abstract: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.

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“…The application of voice biometry also enables auditors to access company's data by comparing their voices to a specific sample in the database [6].…”

Section: Voice Biometrics In a Contemporary Business Worldmentioning

confidence: 99%

Application of Voice Biometrics in Protection Systems and Crime Fighting

Paunović

Nešić

Kovačević

2012

JITA

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“…Speaker recognition belongs to two industries: biometrics and speech processing. The recent upsurge in mobile phone usage and the drive to deliver services over this technology has led to renewed interest in voice biometrics (Markowitz, 2000). However, the reliability of this approach is not as high as iris identification, and therefore iris was chosen as the contactless biometric for this research vehicle.…”

Section: Speech Interactionmentioning

confidence: 99%

"You Talking to Me?" Exploring Voice in Self-Service User Interfaces

Johnson¹,

Coventry²

2001

International Journal of Human-Computer Interaction

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Automated teller machines (ATMs) are a classic example of ubiquitous computing as they pervade our everyday life and, for many, are typical artifacts of convenient, modern living. More important, most people are unaware that in using an ATM they are connected via a computer to a powerful network. Through our research reported within this article, we examine the user acceptance and usability aspects of a novel, "contactless" ATM. This prototype ATM has iris identification, speech recognition, speech synthesis, and communication to a user's personal digital assistant (PDA).In this article, we describe our experiences of and explorations with "Stella," a contactless ATM. First, we briefly discuss the background to the study in terms of technology and trends, and then overview previous usability research in the area. We report our findings from a cognitive walkthrough, the heuristic review of the prototype, focus groups, and a user trial. These results underline the need for multiple evaluation methods for novel concepts. In general, from the findings of this work, consumers believe that speech is a technology that will create more usable applications, even when faced with the relative failure of current technology to live up to their expectations or fulfill their practical needs. People are often initially resistant to the concept of iris identification and the PDA interaction, yet basic experience with a usable prototype quickly overcame people's reservations. Finally, we outline some of the underlying challenges facing voice-based interaction approaches to this form of ubiquitous, public self-service computing.

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“…Like other speech-processing tools, voice biometrics extract information from the stream of speech to accomplish their work. They can be configured to operate on many of the same acoustic parameters as their closest speech-processing relative speech recognition [3].…”

Section: Introductionmentioning

confidence: 99%

Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms

Mansour¹,

Salh²,

Mohammed³

2015

IJCA

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Voice recognition is an important and active research area of the recent years. This research aims to build a system for voice recognition using dynamic time wrapping algorithm, by comparing the voice signal of the speaker with pre-stored voice signals in the database, and extracting the main features of the speaker voice signal using Mel-frequency cepstral coefficients, which is one of the most important factors in achieving high recognition accuracy. General TermsDynamic time wrapping "DTW" algorithm, Mel-frequency Cepstral Coefficients "MFCC" algorithm, vocal signal.

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Voice biometrics

Cited by 77 publications

References 3 publications

Application of Voice Biometrics in Protection Systems and Crime Fighting

Application of Voice Biometrics in Protection Systems and Crime Fighting

"You Talking to Me?" Exploring Voice in Self-Service User Interfaces

Voice Recognition using Dynamic Time Warping and Mel-Frequency Cepstral Coefficients Algorithms

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