Keyphrases
Speaker Verification
70%
Robust Speaker Verification
32%
I-vector
28%
Utterance
24%
Feature Transformation
17%
Handset
16%
Speaker Recognition System
15%
Speaker Model
14%
Support Vector Machine
13%
Subcellular Localization
13%
Speaker Embedding
13%
Feature-based
13%
Deep Neural Network
13%
Stochastic Characteristics
12%
Radial Basis Function Neural Network (RBFNN)
10%
Protein Subcellular Localization
10%
Articulatory Features
9%
Neural Network
9%
Training Data
9%
Result-oriented
9%
Pronunciation Model
8%
Feature Vector
8%
Signal-to-noise Ratio
7%
Speaker Recognition Evaluation
7%
Gene Ontology
7%
Phoneme
7%
Noise-robust
7%
Speaker Characteristics
6%
Profile Alignment
6%
Recurrent Neural Network
6%
Basis Function Network
6%
Background Modeling
6%
Vector-based
6%
Speaker Identification
6%
Gaussian Mixture Model
6%
Gene Ontology Terms
6%
Test Utterance
6%
Adaptation
6%
Decision Basis
6%
Protein Subcellular Localization Prediction
5%
Speech-based
5%
Multi-location Proteins
5%
Text-independent Speaker Verification
5%
Target Speaker
5%
Probabilistic Choice
5%
Kernel-based
5%
Feature Selection
5%
Subcellular Location
5%
Impostor
5%
Telephone-based
5%
Computer Science
Speaker Verification
100%
Support Vector Machine
30%
Experimental Result
23%
Neural Network
16%
Deep Neural Network
15%
Speaker Recognition
14%
Telephone
14%
Background Model
13%
Verification System
12%
Radial Basis Function
10%
Feature Extraction
9%
Ontology
9%
Training Data
9%
Feature Selection
8%
Likelihood Ratio
7%
Gaussian Mixture Model
7%
Feature Vector
7%
Basis Function
7%
Noise-to-Signal Ratio
7%
Recurrent Neural Network
7%
Speaker Identification
6%
Data Augmentation
6%
Mutual Information
5%
Learning Algorithm
5%
Transformation Parameter
5%