Computer Science
Speaker Verification
100%
Experimental Result
92%
Energy Consumption
66%
Deep Neural Network
66%
Speech Enhancement
66%
Computational Complexity
66%
Performance Improvement
66%
Verification System
52%
Speech Recognition
41%
Complexity Reduction
33%
Voice Assistant
33%
Research Topic
33%
Linear Classifier
33%
Noisy Condition
33%
Paradigm Shift
33%
Acoustic Feature
33%
Deep Learning
33%
Evaluation Metric
33%
Equal Error Rate
32%
Convolutional Neural Network
27%
Temporal Resolution
16%
Computational Resource
16%
Learned Feature
16%
Deep Residual Neural Network
16%
Spectral Domain
16%
Quantization
16%
Automated Mechanism
16%
Cepstral Coefficient
16%
Logistic Regression
15%
Speech Quality Evaluation
11%
Phase Difference
11%
Time Fourier Transform
11%
Training Model
11%
Joint Distribution
11%
Principal Components
11%
Statistical Signal Processing
11%
Noisy Environment
11%
Embedding Space
11%
Extended Kalman Filter
11%
Component Analysis
11%
Processing Paradigm
11%
Learning Scheme
11%
Perceptual Quality
11%
Back End
8%
Gaussian Mixture Model
8%
Speech Detection
8%
Engineering
Filterbank
66%
Speech Enhancement
66%
Experimental Result
46%
Extended Kalman Filter
44%
Transfer Function
33%
Deep Neural Network
33%
Acoustic Signal
33%
Equal Error Rate
33%
Automatic Speech Recognition
33%
Loss Function
33%
Autoencoder
33%
Audio Stream
33%
Gaussians
33%
Injection Moulding
22%
Extractor
22%
Test Time
22%
Beamforming
22%
Noisy Environment
22%
Noisy Version
19%
Speakerdiarization
16%
Computational Constraint
16%
Extensive Research
16%
NASA
16%
Energy Consumption Reduction
16%
Gaussian Model
11%
Information Channel
11%
Power Difference
11%
Phase Difference
11%
Related Loss
11%
Network Mask
11%
Adaptation Models
11%
Industrial Applications
11%
Statistical Signal Processing
11%
Speech Signal
11%
Performance Improvement
11%
Computational Complexity
11%
Production Equipment
11%
Molding Cycle
11%
Keyphrases
Filterbank Learning
66%
Shouted Speech
33%
Noise-robust
33%
Transfer Vector
33%
Relative Transfer Function Estimation
33%
Robust Keyword Spotting
33%
Small Footprint
33%
Topic Detection
33%
Acoustic Keyword Spotting
33%
Naturalistic Audio
33%
Whispered Speech
33%
Score Calibration
33%
Keyword Spotting
33%
Mode Detection
22%
Feature Matrix
20%
Probability Estimator
16%
Keyword Embedding
16%
New Speakers
11%
Speech Representation
11%
Neural Network Estimator
11%
Constant-Q Transform
11%
X-vector
11%
Speaker Embedding
11%
Vocal Effort Mismatch
11%
Linear Compensation
11%
Equipment Condition
11%
Generative Modeling
11%
Effective Model Adaptation
11%
Speech Features
9%
Energy Consumption Reduction
9%
Speech Commands
8%
Google Speech
8%
Anti-fraud Measures
8%
System Detection
8%
Voice Authentication
8%
Backroom
8%
Processing Paradigm
8%
Apollo Missions
8%
Deep Learning Training
8%
Automated Mechanism
8%
Unlabeled Corpus
8%
Fearless Steps Challenge
8%
Deep Residual Network
8%
N-pair Loss
8%
Unseen Noise
8%
Matrix Size
6%
Computational Constraints
6%
Smart Electronic Devices
6%
Visual Keyword Spotting
6%
Metric Performance
6%
