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27,846
Unsupervised Evaluation of Speaker Verification Systems
, 2001
"... A method for blind estimation of DET curves for speaker verification systems is proposed. Verification error probabilities are estimated on a database where speaker identities are unknown. The database must provide a set of impostor-only tests as well as a set of mixed impostor and target tests. Thi ..."
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A method for blind estimation of DET curves for speaker verification systems is proposed. Verification error probabilities are estimated on a database where speaker identities are unknown. The database must provide a set of impostor-only tests as well as a set of mixed impostor and target tests
A Speaker Verification System
, 2006
"... Speaker verification is defined as deciding if a speaker is whom he claims to be [1]. Automatic speaker verification (ASV) is the use of a machine to verify a person’s claimed identity from his voice. A typical ASV setup consists of two steps. First, the claimant, who has previously enrolled in the ..."
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Speaker verification is defined as deciding if a speaker is whom he claims to be [1]. Automatic speaker verification (ASV) is the use of a machine to verify a person’s claimed identity from his voice. A typical ASV setup consists of two steps. First, the claimant, who has previously enrolled
Prompting of Passwords in Speaker Verification Systems
, 1997
"... The problem of how to prompt a client with a password in an automatic prompted speaker verification system is addressed Text-prompting offour-digit sequences is compared to speech-prompting of the same sequences, and speech-prompting of jburdigit sequences is compared to speech-prompting of five-dig ..."
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The problem of how to prompt a client with a password in an automatic prompted speaker verification system is addressed Text-prompting offour-digit sequences is compared to speech-prompting of the same sequences, and speech-prompting of jburdigit sequences is compared to speech-prompting of five
Speaker Verification System Based On Probabilistic Neural Networks
- 2002 NIST Speaker Recognition Evaluation, Workshop Presentations & Final Release of Results CD-ROM, Spring 2002. Available on the CD R81_99_1 in: \release\sysdesc\WCL_SRE_system.ps
, 2002
"... INTRODUCTION Because of their good generalization properties, Probabilistic Neural Networks (PNNs) were chosen as classifiers for the Speaker Verification system presented here. Their design is straightforward and does not depend on the training, and they are built only for a fraction of the back pr ..."
Abstract
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Cited by 7 (4 self)
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INTRODUCTION Because of their good generalization properties, Probabilistic Neural Networks (PNNs) were chosen as classifiers for the Speaker Verification system presented here. Their design is straightforward and does not depend on the training, and they are built only for a fraction of the back
ISCA Archive Unsupervised Evaluation of Speaker Verification Systems
"... A method for blind estimation of DET curves for speaker verification systems is proposed. Verification error probabilities are estimated on a database where speaker identities are unknown. The database must provide a set of impostor-only tests as well as a set of mixed impostor and target tests. Thi ..."
Abstract
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A method for blind estimation of DET curves for speaker verification systems is proposed. Verification error probabilities are estimated on a database where speaker identities are unknown. The database must provide a set of impostor-only tests as well as a set of mixed impostor and target tests
Online Text-Independent Speaker Verification System at IITM
"... In this paper, we present online text-independent speaker verification system developed at IIT Madras. Unlike, parametric approaches to model the distribution of speaker-specific features, we explore nonparametric approaches to capture the distribution of speaker-specific features. The distribution ..."
Abstract
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Cited by 3 (1 self)
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In this paper, we present online text-independent speaker verification system developed at IIT Madras. Unlike, parametric approaches to model the distribution of speaker-specific features, we explore nonparametric approaches to capture the distribution of speaker-specific features. The distribution
Fisher Vectors in PLDA Speaker Verification System
"... Abstract-The goal of this paper is to examine the Fisher Vector and incorporate this vector in the PLDA based speaker verification system. The PLDA based system utilizes the Supervector of Statistics extracted from a Gaussian Mixture Model (adopted from the speaker adaptation task) to collect the i ..."
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Abstract-The goal of this paper is to examine the Fisher Vector and incorporate this vector in the PLDA based speaker verification system. The PLDA based system utilizes the Supervector of Statistics extracted from a Gaussian Mixture Model (adopted from the speaker adaptation task) to collect
Text Independent Speaker Verification System
, 2006
"... User identification and verification are very important aspects of any security system today, as cheaters find more and more ways to break into even the most complex of security measures. Biometric recognition systems are in demand today due to their reliance of human features that are unique to a p ..."
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User identification and verification are very important aspects of any security system today, as cheaters find more and more ways to break into even the most complex of security measures. Biometric recognition systems are in demand today due to their reliance of human features that are unique to a
!MESS: A Modular, Efficient Speaker Verification System
- In Proc. RLA2C '98
, 1998
"... We describe a text-independent speaker verification system !MESS that was designed to be highly modular and efficient. The system incorporates an extension of the Tcl script language that facilitates rapid prototyping and high overall execution speed. We provide an overview of the system and its imp ..."
Abstract
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Cited by 7 (4 self)
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We describe a text-independent speaker verification system !MESS that was designed to be highly modular and efficient. The system incorporates an extension of the Tcl script language that facilitates rapid prototyping and high overall execution speed. We provide an overview of the system and its
Speaker Verification System based on the Cerebellum Architecture
"... Controller (CMAC) and fuzzy systems have been active areas of research since its initial introduction. Fuzzy CMAC is basically a CMAC that is coupled with a fuzzy system. This paper presents the incorporation of fuzzy systems into CMAC with Approximate Analogical Reasoning Scheme (AARS) as its infer ..."
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inference rules and Discrete Incremental Clustering (DIC) as its technique to classify the input space, which is used for the speaker verification system. Features extracted from a known speaker using either Mel Frequency Cepstrum Coefficients (MFCC) or Delta Mel Frequency Cepstrum Coefficients (DMFCC
Results 1 - 10
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27,846
