[PDF] Top 20 Speaker Identification by using Vector Quantization
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Speaker Identification by using Vector Quantization
... of speaker recognition is to extract the identity of the person ...speaking. Speaker recognition technology makes it possible to use the speaker's voice to control access to restricted services, for ... See full document
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Speaker identification using distributed vector quantization and Gaussian mixture models
... independence speaker identification is ...are Vector Quantization (VQ) and Gaussian Mixture Models ...large speaker data (Auckenthaler et ...of speaker model which have closer ... See full document
165
Comparative evaluation of different HFCC filter bank using Vector Quantization (VQ) approach based text dependent speaker identification system
... in speaker identification (SI) ...MFCC, using the Equivalent Rectangular Bandwidth ...HFCC-filterbank using 10, 20 and 40 filters, to find out how it does affect the identification ... See full document
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Text Dependent Multilingual Speaker Identification using Learning Vector Quantization and PSO GA Hybrid Model
... The speaker identification system can again classified into two groups- Text dependent and text ...The Speaker identification is task of finding identity of an individual based on his/her ... See full document
7
Design of An Intelligent Speaker Recognition System using Mel Frequency Cepstrum Coefficients and Vector Quantization for Biometric Authentication
... automatic speaker recognition system consists of 2 phases: enrollment and testing ...trained using MFCC and Vector ...made. Speaker identification and verification are simulated and the ... See full document
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Speaker Identification System using Wavelet Transform and VQ modeling Technique
... of vector quantization codebook formation for speaker identification ...from speaker 1 and speaker 2 are represented by circles and triangles ...known speaker using ... See full document
5
An Overview on Speaker Identification Technologies
... generating speaker-based vector quantization (VQ) codebooks for speaker ...training vector may also belong to another ...text-dependent speaker recognition is the HMM technique ... See full document
10
Speaker Recognition and Gender Identification using Artificial Neural Network and Support Vector Machine
... a speaker recognition system depends on extracting the right speaker dependent features which should be invariant in the articulation ...same speaker, it must be robust against noise and channel ... See full document
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Face Recognition Using Vector Quantization Histogram and Support Vector Machine Classifier
... Personal identification systems utilizing personal biometric features naturally became more and more important due to its many applications in different fields, such as, identity authentication, access control, ... See full document
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DETECTION OF TUMOR IN MRI USING VECTOR QUANTIZATION SEGMENTATION
... Dr. H. B. Kekre has received B.E. (Hons.) in Telecomm. Engg. from Jabalpur University in 1958, M.Tech(Industrial Electronics) from IIT Bombay in 1960, M.S.Engg. (Electrical Engg.) from University of Ottawa in 1965 and ... See full document
5
Improved Speech Recognition Processes Using Hybrid Genetic Vector Quantization
... Speech recognition basically means talking to a computer, having it recognize what speakers are saying. Speech is common and efficient form of communication method for people to interact with each other. The person would ... See full document
5
Detection and Demarcation of Tumor using Vector Quantization in MRI images
... Dr. H. B. Kekre has received B.E. (Hons.) in Telecomm. Engg. from Jabalpur University in 1958, M.Tech (Industrial Electronics) from IIT Bombay in 1960, M.S.Engg. (Electrical Engg.) from University of Ottawa in 1965 and ... See full document
8
Local Identification of Overcomplete Dictionaries
... the vector quantization problem can be seen as an extreme case of dictionary learn- ing, where we do not only want all our signals to be approximately 1-sparse but also want the single non-zero coefficient ... See full document
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New Clustering Algorithm for Vector Quantization using Walsh Sequence
... Dr. H. B. Kekre has received B.E. (Hons.) in Telecomm. Engineering. from Jabalpur University in 1958, M.Tech (Industrial Electronics) from IIT Bombay in 1960, M.S.Engg. (Electrical Engg.) from University of Ottawa in ... See full document
6
Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC
... A speaker recognition system mainly consists of two main module, speaker specific feature extractor as a front end followed by a speaker modeling technique for generalized representation of extracted ... See full document
7
Speaker Identification Based Speaker Segmentation for Meeting Data
... are using bank filter to wrapping the mel ...transformed using an inverse DFT into cepstral ...feature vector to avoid higher coefficients since it contains less specific information about ...feature ... See full document
8
Multiple-Description Multistage Vector Quantization
... [10], using the speech samples from the TIMIT database [11] as the ...out using (5) as the distortion measure, with weigh- ing matrix W x chosen according to [12, equations (8), ... See full document
7
Vector Quantization of True-Color Images
... the sum the of Mathematically, dimensions the product code product: m c = A C {all vectors = j=1 For with if example, rate R/k k-dimensional The product the design is a code x2'-, scalar[r] ... See full document
119
Speaker verification using sequence discriminant support vector machines
... Each component of the score-space corresponds to the derivative of the log-likelihood score with respect to one of the parameters of the model. In some ways, it is a measure of how well the sequence matches the model. ... See full document
9
Image Compression using DCT based Compressive Sensing and Vector Quantization
... which quantization noise is introduced to the image and this noise cannot be recovered back by using any ...code vector is kR, where k is the dimension of the vector and R is the ... See full document
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