Computer Science
Deep Neural Network
91%
Recurrent Neural Network
62%
Binary Masking
50%
Large Language Model
50%
Noise-to-Signal Ratio
50%
Domain Adaptation
50%
Frequency Domain
50%
Long Short-Term Memory Network
37%
Attention (Machine Learning)
37%
Information Processing
25%
Spoofing
25%
Affective Computing
25%
Human Computer Interaction
25%
Bayesian Framework
25%
Error Estimation
25%
Exponential Distribution
25%
Sequential Grouping
25%
Temporal Correlation
25%
Features Detection
25%
Enhancement Module
25%
Speaker Recognition
25%
Class Imbalance
25%
Generalization Ability
25%
Multiple Dimension
25%
Pearson Correlation Coefficient
25%
Backbone Network
25%
nonnegative matrix factorization
25%
Feature Extraction
25%
Speech Recognition
25%
Sentiment Analysis
25%
Temporal Continuity
25%
Generalization Performance
25%
Emotional Category
25%
Search Strategies
25%
Multimedia
25%
Detection Method
25%
False Alarm Rate
25%
Source Separation
25%
Experimental Result
20%
Ensemble Learning
16%
Training Objective
14%
Optimization Framework
14%
Speech Enhancement
12%
Engineering
Multichannel
100%
Speech Enhancement
88%
Tasks
67%
Joints (Structural Components)
64%
Deep Neural Network
58%
Beamforming
30%
Exponential Distribution
25%
Mosfets
25%
Negative Impact
25%
Correlation Model
25%
Harmonics
25%
Music Genre Classification
25%
Recurrent Network
25%
Autoregression
25%
Tracking Algorithm
25%
Gaussians
25%
Correlation Matrix
25%
Main Purpose
25%
Higher-Order Statistics
25%
Cooperative
25%
Spectrogram
25%
Interferer
25%
Microphone Array
25%
Local Region
25%
Effective Solution
25%
Length Filter
25%
End System
25%
Deep Learning
25%
Image Recognition
25%
Learning Approach
25%
Real World Application
25%
Source Separation
25%
Spatial Filter
21%
Frequency Domain
20%
Signal-to-Noise Ratio
20%
Reverberation
14%
Experimental Result
14%
Front End
13%
Error Rate
13%
Error Estimation
12%
Conditional Probability
12%