Computer Science
Models
100%
Speech Recognition
60%
Benchmark
55%
Training Data
37%
Representation
30%
Statistics
27%
Segmentation
27%
Speech Understanding
27%
Deep Neural Network
26%
Hidden Markov Models
25%
Machine Learning
23%
Metadata
21%
Use Case
18%
Unsupervised Method
18%
Correlation
13%
Network Structures
13%
Artificial Intelligence
13%
Visual Stimulus
13%
Biggest Challenge
13%
Accuracy
13%
Sequence Model
9%
Contexts
9%
Network Performance
9%
Training Example
9%
Wikipedia
9%
Segmentation Method
9%
Complex Structure
9%
Roles
9%
Common Knowledge
9%
Raw Text
9%
Scoring Function
9%
Experimental Result
6%
Multimedia
6%
Speech Recognition System
6%
Arts and Humanities
System
44%
Corpus
43%
Automatic Speech Recognition
39%
Speech Production
33%
Statistics
27%
Paralanguage
27%
Challenges
27%
Stuttering
27%
Corpus Analysis
27%
Lecture
24%
Model
14%
Speaker
12%
Training
11%
Spontaneous Speech
9%
Gender
8%
Nonverbal
6%
Computational
6%
Paralinguistics
6%
Multimedia
6%
Experimental
6%
Tools
6%
Social Sciences
Finnish
27%
Cataloguing
27%
Speech
23%
Speech Recognition
9%