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text-independent speaker verification system

PLDA in the i-supervector space for text-independent speaker verification

PLDA in the i-supervector space for text-independent speaker verification

... i-supervector system performed much better than i-vector in all the four common conditions for both male and female ...i-supervector system was lower by ...

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A Review on Text-Independent Speaker Verification Techniques in Realistic World

A Review on Text-Independent Speaker Verification Techniques in Realistic World

... (ML) level. The basic idea is to adapt the UBM to each context-dependent phone rather than to each speaker. The context-dependent phones are not an unstructured collection of phones but are related via a tree ...

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Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM

Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM

... The verification system essentially implements a likelihood ratio test to distinguish the test speech comes from the claimed ...claimed speaker, obtained from a previous ...of speaker and ...

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Nuance VocalPassword 8.2 :: Product Description

Nuance VocalPassword 8.2 :: Product Description

... accent- independent text-dependent, text-independent, and text-prompted speaker verification ...diversified verification and identification flows, meeting a range ...

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NEW FEATURE VECTORS FOR AUTOMATIC TEXT- INDEPENDENT SPEAKER TRACKING SYSTEM USING HIDDEN MARKOV MODELS

NEW FEATURE VECTORS FOR AUTOMATIC TEXT- INDEPENDENT SPEAKER TRACKING SYSTEM USING HIDDEN MARKOV MODELS

... a speaker tracking system (STS) which contains two main ...a speaker segmentation process detects speaker ...classical speaker verification system is applied on each ...

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Text-Dependent Speaker Verification System Using Neural Network.

Text-Dependent Speaker Verification System Using Neural Network.

... into text- dependent and text-independent ...the speaker to say key words or sentences having the same text for both training and recognition ...specific text being spoken, i.e. ...

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A Tutorial on Text Independent Speaker Verification

A Tutorial on Text Independent Speaker Verification

... the speaker (under stress or ill), the speaker cooperativeness (does the speaker want to be rec- ognized or does the impostor really want to cheat, is the speaker familiar with the ...

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Text Independent Speaker Modeling and Identification Based On MFCC Features

Text Independent Speaker Modeling and Identification Based On MFCC Features

... automatic speaker recognition technology, with an emphasis on text- independent ...recognition. Speaker recognition has been studied actively for several ...automatic speaker ...

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AN EFFICIENT SVM BASED SPEAKER VERIFICATION SYSTEM

AN EFFICIENT SVM BASED SPEAKER VERIFICATION SYSTEM

... Speaker verification has earned speaker recognition its classification as a "behavioral ...biometric". Speaker identification systems can also be implemented covertly without the ...

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Text Independent Speaker Recognition System using GMM

Text Independent Speaker Recognition System using GMM

... [4] System” by using the simulation software Matlab Speaker recognition [4] can be classified into identification and ...verification. Speaker identification is the process of determining ...

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Writer Independent Manipuri Offline Signature Verification using Transfer Learning Technique of Convolutional Neural Network

Writer Independent Manipuri Offline Signature Verification using Transfer Learning Technique of Convolutional Neural Network

... Signature Verification system is used to verify whether a signature is genuine or ...Signature Verification is very important as a person’s handwritten signature is used everywhere to authenticate ...

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Introducing Phonetic Information to Speaker Embedding for Speaker Verification

Introducing Phonetic Information to Speaker Embedding for Speaker Verification

... This section presents the results of phonetic adaptation in speaker embedding training. In order to show the effectiveness of the acoustic model fine-tuning, several systems are trained with different learning ...

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Neural Network Based Missing Feature Method For Text Independent Speaker Identification

Neural Network Based Missing Feature Method For Text Independent Speaker Identification

... The first step of missing feature methods in text-independent speaker identification is to identify highly cor- rupted spectrographic representation of speech as missing feature. Most mask estimation ...

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On the Determination of Optimal Model Order for GMM Based Text Independent Speaker Identification

On the Determination of Optimal Model Order for GMM Based Text Independent Speaker Identification

... The global GOF, MDL, and AIC values of the patterns of three typical speakers are plotted versus the model order in Figures 1, 2, and 3, respectively. In the upper subplots of each figure, the speaker GMMs have ...

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Introducing phonetic information to speaker embedding for speaker verification

Introducing phonetic information to speaker embedding for speaker verification

... This section presents the results of phonetic adaptation in speaker embedding training. In order to show the effectiveness of the acoustic model fine-tuning, several systems are trained with different learning ...

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Mutual interdependence analysis (MIA)

Mutual interdependence analysis (MIA)

... A speech signal can be modeled as an excitation that is convolved with a linear dynamic filter which represents the vocal tract. The excitation signal can be modeled for voiced speech as a periodic signal and for unvoiced ...

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A Multilingual Speaker Verification System: Architecture and Performance Evaluation

A Multilingual Speaker Verification System: Architecture and Performance Evaluation

... 70 speaker models were trained with five utterances of number strings per ...each speaker. In this way, each speaker model was tested with three user attempts to access the system and the ...

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SPEAKER IDENTIFICATION & VERIFICATION

SPEAKER IDENTIFICATION & VERIFICATION

... Other media, in contrast, are inherently non-deterministic or “uncertain” in their behaviors. Media that make use of statistical math tend to fall into this category. Uncertain media exhibit many possible states, some of ...

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A New Paradigm for Speaker Independent Training and Speaker Adaptation

A New Paradigm for Speaker Independent Training and Speaker Adaptation

... A New Paradigm for Speaker Independent Training and Speaker Adaptation A New Paradigm for Speaker Independent Training and Speaker Adaptation Francis Kubala and Richard Schwartz BBN Systems and Techno[.] ...

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Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering

Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering

... Conventional Speaker Identification(SI) Systems uses individual Gaussian Mixture Models(GMM) for every ...population Speaker identification systems, then during identification, likelihood computations ...

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