Special issues and sections;
Affective computing;
Speech recognition;
Oral communication;
Emotion recognition;
Real-time systems;
Natural language processing;
Human computer interaction;
Artificial intelligence;
Trust computing;
Training data;
Emotion synthesis;
emotion conversion;
human-AI interaction;
empathic AI;
affective computing;
D O I:
10.1109/TAFFC.2022.3233120
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
The papers in this special section focus on affective speech and language synthesis, generation, and conversion. As an inseparable and crucial part of spoken language, emotions play a substantial role in human-human and human-technology conversation. They convey information about a person's needs, how one feels about the objectives of a conversation, the trustworthiness of one's verbal communication, and more. Accordingly, substantial efforts have been made to generate affective text and speech for conversational AI, artificial storytelling, and machine translation. Similarly, there is a push for converting the affect in text and speech, ideally, in real-time and fully preserving intelligibility, e. g., to hide one's emotion, for creative applications and in entertainment, or even to augment training data for affect analyzing AI.
引用
收藏
页码:3 / 5
页数:3
相关论文
共 3 条
[1]
Hu Y., IN PRESS, DOI [10.1109/TAFFC.2022.3205919, DOI 10.1109/TAFFC.2022.3205919]
[2]
Pataca C. d. L., IN PRESS, DOI [10.1109/TAFFC.2022.3174721, DOI 10.1109/TAFFC.2022.3174721]