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text-dependent speaker identification system

Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions

Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions

... automated text dependent speaker identification system has been proposed in noisy ...The identification process incorporates the Neuro- Genetic hybrid algorithm with cepstral ...

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Comparative evaluation of different HFCC filter bank using 
		Vector 
		Quantization (VQ) approach based text dependent speaker identification 
		system

Comparative evaluation of different HFCC filter bank using Vector Quantization (VQ) approach based text dependent speaker identification system

... in speaker identification (SI) ...auditory system like the currently proposed Human Factor Cepstral Coefficients (HFCCs) based filterbank analysis, which is considered as a modification of the ...

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Text Dependent Speaker Identification using Hidden Markchov Model and Mel Frequency Cepstrum Coefficient

Text Dependent Speaker Identification using Hidden Markchov Model and Mel Frequency Cepstrum Coefficient

... Speaker identification is a biometric process. The objective of speaker identification is to extract, characterize and recognize the information about speaker ...identity. ...

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Speaker Identification System based on PLP Coefficients and Artificial Neural Network

Speaker Identification System based on PLP Coefficients and Artificial Neural Network

... The text-dependent speaker identification system that we have developed can be divided into two “subsystems” or, in other words, has to accomplish two tasks: Digitize the spoken ...

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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 ...

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Text Dependent Multilingual Speaker Identification using Learning Vector Quantization and PSO GA Hybrid Model

Text Dependent Multilingual Speaker Identification using Learning Vector Quantization and PSO GA Hybrid Model

... In this proposed system particle swarm optimization[15] with Genetic Algorithm[16] operator is used as optimization technique. It was figured out that PSO suffers from premature convergence, tending to get stuck ...

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Speaker Identification in Network Environment

Speaker Identification in Network Environment

... [7]. Speaker identification has recently become an important research and development ...[4]. Speaker identification can be classified into two types, based on ...for identification, ...

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PROSODIC FEATURE BASED TEXT DEPENDENT SPEAKER RECOGNITION USING MACHINE LEARNING ALGORITHMS

PROSODIC FEATURE BASED TEXT DEPENDENT SPEAKER RECOGNITION USING MACHINE LEARNING ALGORITHMS

... the text must be the same for enrollment and recognition then it is called text-dependent ...a text dependent speaker recognition system, individual presents a fixed ...

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Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language

Text dependent Speaker Recognition by Combination of LBG VQ and DTW for Persian Language

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

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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS

TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS

... III. SPEAKER IDENTIFICATION MODEL WITH GENERALIZED GAUSSIAN DISTRIBUTION In this section we describe the speaker identification ...proposed text independent speaker ...

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Text Dependent Speaker Recognition using MFCC features and BPANN

Text Dependent Speaker Recognition using MFCC features and BPANN

... each speaker, 5 samples are taken for feature extraction and ...the system for various clusters are shown in ...this system is ...for speaker identification with minimum error as the ...

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Text dependent speaker recognition using MFCC and LBG VQ

Text dependent speaker recognition using MFCC and LBG VQ

... these speaker- recognition systems would need to be used in combination with other authenticators ...current speaker-recognition systems, however, makes them suitable for many practical ...engine. ...

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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 recognition, ...

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Speaker Identification System using Wavelet Transform and VQ modeling Technique

Speaker Identification System using Wavelet Transform and VQ modeling Technique

... Speaker identification is the task of determining who is talking from a set of known voices or ...the speaker identification system, an unknown speaker’s speech signal is analyzed and ...

5

Text-Dependent Speaker Verification System Using Neural Network.

Text-Dependent Speaker Verification System Using Neural Network.

... is identification of proper features for the recognition task, and the strategy to extract these features from the signal ...Filling System to extract the feature in a collected speech data for use in the ...

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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

... 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 imposter match ...

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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

... condition comes first. Because of the limited size of train- ing data, the parameter estimates, obtained by the EM al- gorithm, were very sensitive to the model initialization. In order to overcome the above deficiency, ...

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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

... We use the neural network to estimate mask for missing feature reconstruction method in text independent speak- er identification. Four features representing speech are discussed to train the neural ...

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Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification

Performance Evaluation of Mel and Bark Scale based Features for Text Independent Speaker Identification

... Dr. S. B. Dhonde has completed his Ph.D. in Electronics Engineering from Dr. Babasaheb Ambedkar Marathwada University, Aurangabad. He has 19 Years of experience in teaching, research and industry. His area of interest ...

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Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering

Efficient Text Independent Speaker Identification using Optimized Hierarchical Mixture Clustering

... each speaker model is adapted from the GMM-UBM by tuning only its mean parameter (without changing weights and covariance matrices); a point to point link exists between each Gaussian component of adapted ...

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