Utilizing Machine Learning for Detecting Harmful Situations by Audio and Text

Keyphrases

• Audio 100%
• Audio Cues 33%
• Audio Databases 33%
• Audio Embeddings 33%
• Automated Agents 33%
• Automated System 33%
• Bidirectional Encoder Representations from Transformers 33%
• Children with Special Health Care Needs (CSHCN) 66%
• Childrens 33%
• Deep Neural Network 33%
• Detection Efficiency 33%
• Dialogue Context 33%
• Embedding Vector 66%
• Insults 100%
• Machine Learning 100%
• Machine Learning Techniques 33%
• Realistic Scenario 33%
• Sentence Detection 33%
• Situation-based 33%
• Text Database 33%
• Text Embedding 33%
• Textual Cues 33%
• Three-class 33%
• Transformer Embeddings 33%
• Unsafe Conditions 33%
• Violence 33%
• Wav2vec 2.0 33%

Computer Science

• Bidirectional Encoder Representations From Transformers 50%
• Deep Neural Network 50%
• Learning System 100%
• Machine Learning 100%
• Unsafe Condition 50%

Psychology

• Child with Special Needs 100%
• Neural Network 50%