Engineering & Materials Science
Speech recognition
100%
Acoustics
78%
Transcription
61%
Speech analysis
35%
Hidden Markov models
28%
Crowdsourcing
26%
Audiovisual
22%
Deep neural networks
20%
Classifiers
19%
Experiments
19%
Labels
15%
Speech synthesis
14%
Multi-task learning
13%
Entropy
12%
Acoustic waves
11%
Microphones
11%
Linguistics
10%
Beamforming
10%
Neural networks
9%
Maximum likelihood
9%
Discriminant analysis
9%
Fusion reactions
9%
Speech enhancement
8%
Convolutional neural networks
8%
Labeling
7%
Source separation
7%
Feature extraction
6%
Speech intelligibility
6%
Deep learning
6%
Bins
6%
Chemical activation
6%
Additive noise
6%
Trajectories
5%
Interpolation
5%
Detectors
5%
Linear regression
5%
Convolution
5%
Arts & Humanities
Speech Recognition
48%
Automatic Speech Recognition
41%
Acoustics
39%
Neural Networks
25%
Telephone
22%
Transcription
21%
Hidden Markov Model (HMM)
18%
Language
16%
Prosody
16%
Dysarthria
14%
Acoustic Cues
14%
Modeling
13%
Mutual Information
12%
Spectrality
12%
Speech Synthesis
9%
Consonants
9%
Experiment
9%
Resources
8%
Stop Consonants
8%
Mixture Model
8%
Voice Quality
7%
Tongue
7%
English People
6%
Natural Speech
6%
Vocabulary
6%
Kinematics
6%
Scenarios
6%
Performance
6%
Cross-language
6%
Layer
5%
Trajectory
5%
Cerebral Palsy
5%
Captions
5%
Place of Articulation
5%
ToBI
5%
Emotion
5%
American English
5%
Mathematics
Language
38%
Transcription
36%
Acoustics
26%
Training
25%
Neural Networks
21%
Speech Recognition
20%
Corpus
19%
Error Rate
17%
Transfer Learning
10%
Model
10%
Vision
10%
Learning
10%
Experiment
9%
Alignment
7%
Gaussian Mixture Model
6%
Voice
6%
Particle Filtering
6%
Baseline
6%
Text-to-speech
6%
Mask
6%
Statistical Machine Translation
5%
Neural Nets
5%
Scenarios
5%
Retrieval
5%
Microphone Array
5%
Speech Production
5%
Linear Discriminant Analysis
5%
Human Behavior
5%
