Arts and Humanities
Corpus
71%
Automatic Speech Recognition
53%
Statistics
45%
Signs
45%
Fiction Film
45%
1950s
45%
Audio-visual
45%
Corpus Analysis
45%
Urbanity
45%
Multi-modal analysis
45%
Speech Production
43%
Lecture
28%
System
27%
Speech Discrimination
22%
Speech Recognition
22%
Aural
22%
Object Recognition
22%
Speaker
20%
Training
19%
Analytical Method
19%
Approach
17%
Spontaneous Speech
15%
Gender
14%
Model
13%
Films
11%
Object
11%
Urban Sociology
11%
Imagination
11%
filmmaker
11%
Rural
11%
Score
11%
Shapes
11%
Urban culture
11%
Film
11%
Urban
11%
Transportation
11%
Change
11%
filmography
11%
speech sounds
11%
Rural Sociology
11%
Language
7%
Finland
7%
Artificial
7%
showcase
7%
Codes
7%
Campaigns
7%
Split
6%
Temporal
6%
Distribution
6%
Longi-tudinal
6%
Computer Science
Models
100%
Benchmark
91%
Speech Recognition
68%
User
52%
Statistics
45%
Bidirectional Encoder Representations From Transformers
45%
Embedding
45%
Deep Neural Network
44%
Hidden Markov Models
41%
Metadata
35%
Use Case
30%
Computational Cost
22%
Recognition Accuracy
22%
Training Data
22%
translation model
22%
Mobile Device
18%
Sentiment Analysis
13%
Speech Recognition System
11%
Laptops
9%
Mobile Augmented Reality
9%
Augmented Reality
9%
Accuracy
9%
Recognizer
9%
Separate Server
9%
Service
7%
Open Source Code
7%
Reproducibility
7%
Speech Detection
7%
Collection Process
7%
Recognition Accuracy
6%
Recognition Performance
6%
Data Preparation
6%
Domains
6%
Education
6%
Evaluation
6%
Detection
6%
Vectors
6%
Embedding Space
6%
Multiple Method
6%
Good Performance
6%
Knowledge Distillation
6%
Multimodal System
6%
Social Sciences
Finnish
45%
Cataloguing
45%
Speech
38%
Speech Recognition
15%
Dialects
7%
Technology
7%
Process
7%
Finland
7%
Representative
7%
Languages
7%
Gender
7%
Campaign
7%
Economic and Social Development
7%
Codes
7%
Analysis
7%
Colloquial
7%
