[PDF][PDF] 语音情感识别研究进展综述
韩文静, 李海峰, 阮华斌, 马琳 - 软件学报, 2013 - jos.org.cn
对语音情感识别的研究现状和进展进行了归纳和总结, 对未来语音情感识别技术发展趋势进行了
展望. 从5 个角度逐步展开进行归纳总结, 即情感描述模型, 具有代表性的情感语音库 …
展望. 从5 个角度逐步展开进行归纳总结, 即情感描述模型, 具有代表性的情感语音库 …
Annotation and processing of continuous emotional attributes: Challenges and opportunities
A Metallinou, S Narayanan - 2013 10th IEEE international …, 2013 - ieeexplore.ieee.org
Human emotional and cognitive states evolve with variable intensity and clarity through the
course of social interactions and experiences, and they are continuously influenced by a …
course of social interactions and experiences, and they are continuously influenced by a …
Optimal arousal identification and classification for affective computing using physiological signals: Virtual reality stroop task
A closed-loop system that offers real-time assessment and manipulation of a user's affective
and cognitive states is very useful in developing adaptive environments which respond in a …
and cognitive states is very useful in developing adaptive environments which respond in a …
Multi-modal dimensional emotion recognition using recurrent neural networks
Emotion recognition has been an active research area with both wide applications and big
challenges. This paper presents our effort for the Audio/Visual Emotion Challenge …
challenges. This paper presents our effort for the Audio/Visual Emotion Challenge …
Don't classify ratings of affect; rank them!
HP Martinez, GN Yannakakis… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
How should affect be appropriately annotated and how should machine learning best be
employed to map manifestations of affect to affect annotations? What is the use of ratings of …
employed to map manifestations of affect to affect annotations? What is the use of ratings of …
Driver drowsiness estimation from EEG signals using online weighted adaptation regularization for regression (OwARR)
One big challenge that hinders the transition of brain-computer interfaces (BCIs) from
laboratory settings to real-life applications is the availability of high-performance and robust …
laboratory settings to real-life applications is the availability of high-performance and robust …
Emotion space modelling for social robots
F Yan, AM Iliyasu, K Hirota - Engineering Applications of Artificial …, 2021 - Elsevier
Improving the interaction between artificial systems and their users is an important issue in
artificial intelligence. In current trends in social robotics, this is accomplished by making such …
artificial intelligence. In current trends in social robotics, this is accomplished by making such …
Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information
We address the problem of tracking continuous levels of a participant's activation, valence
and dominance during the course of affective dyadic interactions, where participants may be …
and dominance during the course of affective dyadic interactions, where participants may be …
Collaborative filtering for brain-computer interaction using transfer learning and active class selection
Brain-computer interaction (BCI) and physiological computing are terms that refer to using
processed neural or physiological signals to influence human interaction with computers …
processed neural or physiological signals to influence human interaction with computers …