[PDF] Top 20 A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
... independent speaker remembrance technology, with an important on text-independent ...on speaker recognition actively for nearly ten ...independent speaker remembrance, with regard to ... See full document
6
Text Independent Automatic Speaker Recognition System Using Mel Frequency Cepstrum Coefficient and Gaussian Mixture Models
... proved using spectral subtraction [33,34] and segmented into frames partially overlying (50%) and relatively ...GMM using 32 ...a speaker is added into the system or for the test step among ... See full document
6
Speaker Recognition by Combining Gaussian Mixture Model (GMM) Spectral Representation and Phase Information
... the model parameters used in a text independent speaker recognition ...text-independent speaker identification system on increasing the amount of training data increases the ... See full document
9
Speaker Recognition using Gaussian Mixture Model
... Abstract- Speaker recognition is a term which is most popular in biometric recognition technique that tends to identify and verify a speaker from his/her speech ...data. Speaker ... See full document
6
An Overview on Speaker Identification Technologies
... proposed Gaussian mixture modeling (GMM) classifier for speaker recognition task ...in speaker recognition. The GMM needs sufficient data to model the speaker, and ... See full document
10
EMOTION DETECTION IN SPEECH USING GAUSSIAN MIXTURE MODEL
... A Gaussian Mixture Model (GMM) is a parametric probability density function represented as a weighted sum of Gaussian component ...parametric model of the probability distribution of ... See full document
12
Face Recognition Algorithm based on Doubly Truncated Gaussian Mixture Model using DCT Coefficients
... In this section we briefly discuss the probability distribution (model) used for characterizing the feature vector of the face recognition system. After extracting the feature vector of each ... See full document
6
A Model Selection Based Self Splitting Gaussian Mixture Learning with Application to Speaker Identification
... pattern recognition tasks, the diago- nal covariance GMM was used to model the probabilistic distribution of the training patterns [10, 22, 28, ...covariance Gaussian component is much less than that ... See full document
14
SPEAKER RECOGNITION USING GMM
... (Speaker Recognition [4] Project) is to implement a recognizer using Matlab which can identify a person by processing his/her ...by using the process of feature extraction using ...by ... See full document
9
Speech to Text Converter Using Gaussian Mixture Model(GMM)
... conversion system is extensively used in many ...conversion system or speech recognition system is more productive for deaf and dumb ...Speech recognition is a challenging part in ... See full document
5
Evaluation of Phonetic System for Speech Recognition on Smartphone
... Speech recognition is one of the most significant application areas of digital signal ...Speech recognition systems have divided into two levels, the first level of ASR system is the feature ... See full document
6
Speaker identification using distributed vector quantization and Gaussian mixture models
... independence speaker identification is ...and Gaussian Mixture Models ...large speaker data (Auckenthaler et ...of speaker model which have closer distance measure in ... See full document
165
Speech based Emotion Recognition with Gaussian Mixture Model
... message, speaker, language and emotions ...tract system excited by a time varying excitation ...SURPRISE. Recognition of Emotions from Speech-Speech features may be basically extracted from ... See full document
5
Multilingual Blended Speech Recognition using Gaussian Mixture Model for Non-Dictionary Words
... acoustic model and language model in previous ...Acoustic model estimates the acoustic properties of speech ...acoustic model and language show with the lexical ... See full document
9
Low-dimensional representation of Gaussian mixture model supervector for language recognition
... guage, speaker, channel, gender, and environment ...by using multiple reference ...of using language-dependent GMM instead of language- independent UBM in language total variability space ...GMM ... See full document
7
Text Independent Speaker Modeling and Identification Based On MFCC Features
... text-independent speaker recognition: From features to ...of speaker recognition and their effect on forensic human and automatic speaker ...automatic speaker recognition ... See full document
9
(SIMT) model is presented. CUDA
... a Gaussian mixture speaker model is the order M of the mixture ...The model parameters must also be initialized prior to the EM ...of mixture density (M) is ...likelihood ... See full document
7
NEW FEATURE VECTORS FOR AUTOMATIC TEXT- INDEPENDENT SPEAKER TRACKING SYSTEM USING HIDDEN MARKOV MODELS
... In the new feature vector, each Gaussian probability density represents one coefficient. Experiments are carried out to find the dimension of new feature vector for good language identification performance. This ... See full document
6
Intelligent Surveillance System for Human Detection
... basic Gaussian model can adapt to slow changes in the scene like, gradual illumination changes by recursively updating the model using a simple adaptive ...a mixture of ... See full document
5
A Review on Text-Independent Speaker Verification Techniques in Realistic World
... Gaussian Mixture Model-Universal Background Model (GMM-UBM) is a standard reference classifier in speaker verification,[Comparing Maximum] The GMM-UBM system is the current ... See full document
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