Keywords: من بردار; Total variability model; i-vector; Speaker identification; Language identification;
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Keywords: من بردار; Speaker recognition; Gender identification; Age-group identification; Children's speech; Gaussian Mixture Model (GMM); Support Vector Machine (SVM); i-vector;
Keywords: من بردار; Speaker verification (SV); Short utterance; KSVD; Kernel discriminant analysis (KDA); I-vector; 41A05; 41A10; 65D05; 65D17;
Keywords: من بردار; EMD; MEMD; IMFs; MFCCs; SV; i-vector; GMM;
Keywords: من بردار; Unsupervised clustering; Bottom-up clustering; Large scale training; DNN-HMM; Speaker adaptive training; i-Vector;
Keywords: من بردار; Discriminative features; I-vector; Domain compensation; Deep neural network; Speaker verification;
Keywords: من بردار; Excitation source information; Language identification (LID); LP residual; GFD parameters; RMFCC; MPDSS; Pitch contour; Epoch strength contour; MFCC; i-Vector; IITKGP-MLILSC; OGI-MLTS; NIST LRE; Cavg;
Keywords: من بردار; Speech clipping; GMM-UBM; i-vector; DNN; Speaker recognition;
Keywords: من بردار; Face authentication; Speaker authentication; Bi-modal authentication; Gaussian mixture model; Session variability; Inter-session variability; Total variability; I-vector; Fusion;
Keywords: من بردار; Restricted Boltzmann machine; Deep learning; Variable rectified linear unit; Speaker recognition; GMM-RBM vector; i-vector;
Keywords: من بردار; Speaker verification; I-vector; Domain mismatch compensation; DI-LDA; DI-PLDA; DI-PLDA[DI-LDA]; Score fusion;
Keywords: من بردار; Speaker verification; i-vector; Total factor space; Feature variability; Adaptive first-order Baum–Welch statistics analysis (AFSA)
Curriculum learning based approach for noise robust language identification using DNN with attention
Keywords: من بردار; Automatic language identification; Background environments; I-vector; Deep neural network (DNN); DNN with attention (DNN-WA); Multi signal-to-noise (SNR) models; Curriculum learning;
Nonparametrically trained PLDA for short duration i-vector speaker verification
Keywords: من بردار; Speaker recognition; PLDA; Nonparametric; NIST SRE; Short duration; i-Vector;
Data selection for i-vector based automatic speaker verification anti-spoofing
Keywords: من بردار; Speaker verification; i-vector; Anti-spoofing; Countermeasure;
Comparison of Text Independent Speaker Identification Systems using GMM and i-Vector Methods
Keywords: من بردار; Speaker Recognition; GMM; i-Vector; PNCC; RASTA PLP; CDS; PLDA;
Performance Evaluation of Different Modeling Methods and Classifiers with MFCC and IHC Features for Speaker Recognition
Keywords: من بردار; MFCC; IHC; i-vector; GMM; CDS; PLDA;
Deep neural network framework and transformed MFCCs for speaker's age and gender classification
Keywords: من بردار; Deep neural network; DNN; I-Vector; MFCCs; Speaker age and gender classification; DNN; Deep neural network; aGender; Age-annotated database of German telephone speech; HTK; Hidden Markov model toolkit; MFCCs; Mel frequency cepstral coefficients; RBM; Rest
DNNs for unsupervised extraction of pseudo speaker-normalized features without explicit adaptation data
Keywords: من بردار; Un-supervised speaker normalization; FMLLR; i-vector; VTLN; DNN;
Feature-switching: Dynamic feature selection for an i-vector based speaker verification system
Keywords: من بردار; Feature selection; Speaker verification; I-vector; GMM-UBM; Total variability space;
Reversible speaker de-identification using pre-trained transformation functions
Keywords: من بردار; Speaker de-identification; Voice transformation; Speaker re-identification; Frequency warping; Amplitude scaling; i-vector;
Text-dependent speaker verification based on i-vectors, Neural Networks and Hidden Markov Models
Keywords: من بردار; Deep Neural Network; Text-dependent; Speaker verification; i-Vector; Frame alignment; Bottleneck features;
Discriminative subspace modeling of SNR and duration variabilities for robust speaker verification
Keywords: من بردار; Speaker verification; Duration variation; SNR mismatch; Variational Bayes; I-vector; PLDA;
Factors affecting i-vector based foreign accent recognition: A case study in spoken Finnish
Keywords: من بردار; Foreign accent recognition; i-Vector; Language proficiency; Age of entry; Level of education; Where second language is spoken;
Non-speaker information reduction from Cosine Similarity Scoring in i-vector based speaker verification
Keywords: من بردار; Cosine similarity; I-vector; Speaker verification; Non-speaker information
From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification
Keywords: من بردار; i-vector; Probabilistic linear discriminant analysis; Multiple enrollment; Speaker verification
Speaker age estimation using i-vectors
Keywords: من بردار; Speaker age estimation; i-vector; Least squares support vector regression; Utterance length; Language mismatch
Improving short utterance i-vector speaker verification using utterance variance modelling and compensation techniques
Keywords: من بردار; Speaker verification; I-vector; PLDA; SN-LDA; SUVN; SUV
Simplified supervised i-vector modeling with application to robust and efficient language identification and speaker verification
Keywords: من بردار; Language identification; Speaker verification; I-vector; Supervised i-vector; Simplified i-vector; Simplified supervised i-vector;
I-vector based speaker recognition using advanced channel compensation techniques
Keywords: من بردار; Speaker verification; I-vector; GPLDA; LDA; SN-LDA; WLDA; SN-WLDA
Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification
Keywords: من بردار; i-Vector; Joint factor analysis; PLDA mixture; Speaker verification; Unsupervised learning