Computer Science
Experimental Result
100%
Speech Recognition
51%
Conventional Method
43%
Deep Learning Method
31%
Convolutional Neural Network
28%
Generative Adversarial Networks
27%
Training Data
25%
Robot
25%
Recognition Performance
23%
Neural Network
22%
Feature Extraction
20%
Robust Speech Recognition
20%
Noisy Environment
19%
Background Noise
18%
super resolution
17%
Effective Method
16%
Feature Vector
15%
data association
15%
de-noising
14%
Confidence Measure
13%
Recognition Rate
13%
Speech Recognition System
13%
Attention (Machine Learning)
13%
Image Sequence
13%
Speech Enhancement
11%
Image Segmentation
11%
Autoencoder
11%
Event Detection
10%
Support Vector Machine
10%
Gaussian Mixture Model
10%
Classification Performance
10%
Tracking Algorithm
10%
Learning Framework
10%
Superior Performance
10%
Speaker Verification
10%
Voice Activity Detection
10%
Vehicular Environment
10%
Image Dehazing
10%
Image Matching
10%
Anomaly Detection
10%
Detection Method
9%
Tracking Method
9%
Tracking Object
9%
facial image
9%
Detection Algorithm
9%
Performance Evaluation
9%
Computational Load
9%
local feature
8%
Contextual Information
8%
Speaker Recognition
8%
Keyphrases
Noisy Environment
33%
Speech Recognition
30%
End-to-end Speech Recognition
28%
Neural Network
24%
Speech Enhancement
24%
Acoustic Event Classification
24%
Performance Improvement
22%
Occlusion
21%
Earthquake Event Classification
20%
Recognition Performance
20%
Acoustic Modeling
19%
Convolutional Neural Network
18%
Acoustic Signal
17%
Automobile
17%
Denoising
17%
Feature Extraction Methods
17%
Hidden Markov Model
17%
Earthquake
16%
State-of-the-art Techniques
16%
Illumination Change
16%
Deep Learning
16%
Generative Adversarial Networks
16%
Background Noise
15%
Generalized Sidelobe Canceller
15%
Acoustic Event
15%
Learning-based
14%
Multi-object
14%
Compressed Sensing
14%
Deep Learning Methods
14%
Animal Sounds
13%
Representative Experiment
13%
Microphone Array
12%
Training Data
12%
Computational Load
12%
Signal Base
12%
Side-scan Sonar Image
12%
Keyword Spotting
12%
Animal Sound Classification
12%
Speech Recognition System
12%
Noise Reduction
12%
Noise-robust
12%
Classification Accuracy
11%
Classification Performance
11%
Data Association
11%
Filter Bank
11%
Seismic Waveform
11%
Novelty Filter
11%
Hand Gesture
11%
Voice Activity Detection
11%
Estimation Method
11%
Engineering
Experimental Result
70%
Conventional Method
42%
Convolutional Neural Network
31%
Robust Speech Recognition
30%
Feature Extraction
27%
Speech Enhancement
26%
Noisy Environment
22%
Deep Learning Method
20%
Event Detection
18%
Sidelobe Canceller
15%
Robot
15%
Recognition Rate
14%
Tracking Algorithm
13%
Signal-to-Noise Ratio
13%
Computational Load
13%
Support Vector Machine
12%
Side Scan Sonar
12%
Sonar Image
12%
Compressive Sensing
12%
Deep Neural Network
12%
Transfer Function
12%
Filtration
12%
Single Image
11%
Recurrent Neural Network
11%
Least Square
11%
Automatic Speech Recognition
10%
Classification Performance
10%
Source Separation
10%
Degraded Image
10%
Filter Dynamic
10%
Image Dehazing
10%
Beamformer
10%
Microphone Array
10%
State-of-the-Art Method
9%
Spectrogram
9%
Moving Object
9%
Gaussian Mixture Model
9%
Tracking (Position)
9%
Sound Source
8%
Similarities
8%
Input Image
8%
Captured Image
8%
Surveillance System
8%
Kalman Filter
8%
Frequency Domain
8%
Acoustic Signal
7%
Loss Function
7%
Isolation Method
7%
Image Enhancement
7%
Filterbank
7%
