Keyphrases
Automatic Speech Recognition
50%
Command-and-control
100%
Communication Device
25%
Computational Power
25%
Convolution Neural Network
25%
Convolution Neural Network Model
25%
Deep Learning Technology
100%
Dysarthric
100%
Experiment Results
25%
Feature System
25%
Implementation Cost
50%
Mel Frequency Cepstral Coefficients
25%
Mobile Devices
75%
Model Size
25%
Patient-centered
100%
Patient-controlled
50%
Phonetic Posteriorgrams
25%
Power Requirement
25%
Recognition System
100%
Recognition-based
50%
Small Animal Model
25%
Speech Commands
100%
Speech Features
25%
Speech Recognition System
50%
Voice Control
25%
Computer Science
Communication Device
33%
Convolution Neural Network Model
33%
Convolutional Neural Network
33%
Deep Learning Method
100%
Learning Technology
100%
Mel Frequency Cepstral Coefficient
33%
Mobile Device
100%
Power Requirement
33%
Recognition System
100%
Speech Recognition
66%
Speech Recognition System
66%
Engineering
Automatic Speech Recognition
100%
Control Command
100%
Convolutional Neural Network
50%
Deep Learning Method
100%
Implementation Cost
50%
Network Model
25%
Power Requirement
25%