Gaussian-mixture-model speaker recognition
Speaker Recognition using Gaussian Mixture Model
... In speaker recognition, all these signals are taken into account and used to discriminate between ...speakers. Speaker recognition can be classified into different categories such as Open Set ...
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EMOTION DETECTION IN SPEECH USING GAUSSIAN MIXTURE MODEL
... This feature extraction can be implemented in many ways, but a very common, is to use Mel- based Cepstral Coefficients. Mel Frequency Cepstral Coefficients (MFCC) is the most widely used spectral representation of the ...
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Speech based Emotion Recognition with Gaussian Mixture Model
... to the speech emotion recognition system may contain the real world emotions or the acted ones. It is more practical to use database that is collected from the real life situations. The database proposed in this ...
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INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES MANAGEMENT TEXT-INDEPENDENT SPEAKER RECOGNITION USING GAUSSIAN MIXTURE MODEL Mamta Saraswat Tiwari
... Next, mel-scale cepstral feature vectors are extracted from the speech frames. The mel-scale cepstrum is the discrete cosine transform of the logspectral energies of the speech segment Y. The spectral energies are ...
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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 ...
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EMOTION RECOGNITION FROM SPEECH WITH GAUSSIAN MIXTURE MODELS AND VIA BOOSTED GMM
... emotion recognition from the speech signal has been prevailing topic of ...emotion recognition is an important issue which affects the human machine ...Automatic recognition of human emotion in ...
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SPEAKER RECOGNITION USING GMM
... text-independent speaker recognition ...of speaker specific training ...The Gaussian Mixture speaker model was specifically evaluated for identification tasks using short ...
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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 ...
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TEXT INDEPENDENT SPEAKER IDENTIFICATION WITH PRINCIPAL COMPONENT ANALYSIS
... of speaker‟s speech ...independent speaker identification model is developed by combining MFCC‟s with PCA to obtain compressed feature vectors without losing much ...Generalized Gaussian ...
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Performance Evaluation of Text-Independent Speaker Identification and Verification Using MFCC and GMM
... the model using Gaussian mixture components as 16 for training speech lengths as ...Here, recognition rate is defined as the ratio of the number of speaker identified to the total ...
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Low-dimensional representation of Gaussian mixture model supervector for language recognition
... guage, speaker, channel, gender, and environment ...GMM model for each target ...language model for each target language using maximum likelihood (ML) ...
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An Emotion Recognition System based on Right Truncated Gaussian Mixture Model
... emotion recognition system based on the Truncated Gaussian mixture model ...emotion recognition database In the recent past, many models have been listed in the literature based on the ...
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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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Speaker Recognition with Mixtures of Gaussians with Sparse Regression Matrices
... Graphical Model (UGM) where each node represents each dimension of a single Gaussian (Bilmes, ...a mixture of Gaussians as a mixture of DGM or UGM may be ...of Gaussian parameter ...
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Comparison between Different Methods used in MFCC for Speaker Recognition System
... form speaker model victimization some applied mathematics model like GMM applied mathematics model ...Finite mixture models and their typical parameter estimation ways will approximate ...
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A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
... Abstract—Automatic speaker recognition system identifies a person from the information contained in the speech ...biometric recognition and are being used in applications like teleconferencing, ...
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Speaker Recognition by Combining Gaussian Mixture Model (GMM) Spectral Representation and Phase Information
... text-independent speaker recognition, Gaussian mixture model (GMM) is known for its effectiveness and scalability in modeling the spectral distribution of ...conventional speaker ...
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A Framework for Improving the Interpersonal Relationship of the Elderly with Mild Cognitive Impairment by Using Speaker Recognition and Social Network Platforms
... the speaker recognition technique and association functionality of social network ...the speaker recognition units based on the Gaussian Mixture Model (GMM) and ...
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Multilingual Blended Speech Recognition using Gaussian Mixture Model for Non-Dictionary Words
... Speech recognition adds another dimension to the problem of natural language ...speech recognition is the translation of spoken words into ...speech recognition", "ASR", "computer ...
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Text independent Speaker Recognition of Mandarin by Big Data Technic of GMM and VQGMM
... of speaker identification scholars devote themselves to decrease nose [1], to enhance and minimizing nose [2], identifying speakers features [3], categorizing signal to reduce nose ...Mandarin speaker with ...
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