Engineering
Speech Enhancement
95%
Mean Square Error
53%
Beamforming
51%
Reverberation
42%
Power Spectral Density
36%
Multichannel
36%
Speech Signal
36%
Sound Source
34%
Maximum Likelihood
33%
Beamformer
26%
Microphone Signal
25%
Joints (Structural Components)
22%
Direction of Arrival
22%
Maximum Likelihood Estimation
21%
Noisy Environment
20%
Deep Learning
19%
Transmissions
18%
Transfer Function
17%
Binaural Hearing
16%
Computational Complexity
15%
Additive Noise
15%
Energy Engineering
14%
Signal Model
14%
Deep Neural Network
13%
Filterbank
12%
Error Estimation
12%
Model Parameter
12%
Loss Function
12%
Frequency Domain
12%
Linear Time Invariant
12%
Closed Form Solution
12%
Simulation Result
12%
Microphone Array
11%
Nodes
10%
State-of-the-Art Method
10%
Signal-to-Noise Ratio
10%
Single Channel
9%
Processed Speech
9%
Optimal Rate
9%
Speech Processing
9%
Tasks
9%
Wireless Sensor Network
8%
Recursive
8%
Processing Algorithm
8%
Experimental Result
7%
Objective Function
7%
Optimisation Problem
7%
Output Noise
7%
Noise Power
7%
Computational Cost
7%
Computer Science
Speech Enhancement
100%
Deep Learning
30%
Deep Neural Network
30%
Approximation (Algorithm)
26%
maximum-likelihood
23%
Noisy Environment
23%
Computational Complexity
22%
Frequency Domain
21%
direction-of-arrival
19%
Speech Processing
19%
System Identification
19%
Convolutional Neural Network
18%
Performance Improvement
17%
Experimental Result
16%
Optimization Problem
16%
Speech Recognition
16%
Wireless Channel
16%
Transfer Function
14%
Acoustic Feature
14%
Noise-to-Signal Ratio
13%
Source Localization
12%
cepstral
12%
Mel Frequency Cepstral Coefficient
12%
Mutual Information
12%
Error Estimation
12%
Multitask Learning
12%
Time Difference
12%
Energy Consumption
12%
Sensor Networks
12%
Frequency Region
12%
Speech Synthesis
12%
Assistive Devices
12%
Gaussian Channel
12%
Invariant Filter
12%
Visual Informations
12%
Wireless Microphone
11%
Spatial Information
10%
Speech Communication
10%
Microphone Signal
10%
Power Spectral Density
9%
Mapping Function
9%
Likelihood Estimation
9%
joint source channel coding
9%
Power Constraint
9%
Channel Condition
9%
Wireless Sensor Network
8%
Resulting Filter
8%
Research Topic
7%
Evaluation Metric
7%
Noise Suppression
7%
Keyphrases
Near-end Listening Enhancement
19%
Single-channel Speech Enhancement
12%
Speech Dereverberation
12%
Minimum Processing
12%
Filterbank Learning
12%
Deep Learning
12%
Noise-robust
12%
Speech Intelligibility
12%
Speech Quality
11%
Direction of Arrival
11%
Lombard Speech
11%
Speech Intelligibility Test
9%
Lombard Effect
8%
Linear Time-invariant Filter
8%
Relative Transfer Function
7%
Speech Enhancement
7%
Monaural
6%
Speech Inpainting
6%
Full-band
6%
Speech Quality Prediction
6%
Small Footprint
6%
Multichannel Wiener Filter
6%
Power Spectral Density Estimation
6%
Mel-frequency Cepstral
6%
Consistent Method
6%
Speech Suppression
6%
Lombard Reflex
6%
Robust Keyword Spotting
6%
Information Bottleneck
6%
Power Spectral Density Matrix
6%
Signal Model
6%
Spectro-temporal Modulation
6%
Beamforming Scheme
6%
Spectral Density Estimation
6%
Training Objectives
6%
Multi-microphone
6%
Bias-compensated
6%
Sound Source Localization
6%
Factor Analysis
6%
Time-domain Speech Enhancement
6%
Single Microphone Noise Reduction
6%
Wireless Microphone
6%
Array Geometry
6%
PSD Estimation
6%
Beamforming Optimization
6%
Hearing Aids
6%
Enhanced Speech
6%
Remote Microphone
6%
Minimum Mean Square Error Filter
6%
Cross-relation
6%
