An engineering view on emotions and speech: From analysis and predictive models to responsible human-centered applications
The substantial growth of Internet-of-Things technology and the ubiquity of smartphone
devices has increased the public and industry focus on speech emotion recognition (SER) …
devices has increased the public and industry focus on speech emotion recognition (SER) …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
Stochastic optimal control for energy Internet: A bottom-up energy management approach
In this paper, an energy management issue is considered for energy Internet where
microgrids (MGs) are interconnected via energy routers (ERs). Focusing on an individual …
microgrids (MGs) are interconnected via energy routers (ERs). Focusing on an individual …
Computational assessment of facial expression production in ASD children
In this paper, a computational approach is proposed and put into practice to assess the
capability of children having had diagnosed Autism Spectrum Disorders (ASD) to produce …
capability of children having had diagnosed Autism Spectrum Disorders (ASD) to produce …
Average jane, where art thou?–recent avenues in efficient machine learning under subjectivity uncertainty
G Rizos, BW Schuller - … Processing and Management of Uncertainty in …, 2020 - Springer
In machine learning tasks an actual 'ground truth'may not be available. Then, machines
often have to rely on human labelling of data. This becomes challenging the more subjective …
often have to rely on human labelling of data. This becomes challenging the more subjective …
End-to-end label uncertainty modeling in speech emotion recognition using bayesian neural networks and label distribution learning
NR Prabhu, N Lehmann-Willenbrock… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To train machine learning algorithms to predict emotional expressions in terms of arousal
and valence, annotated datasets are needed. However, as different people perceive others' …
and valence, annotated datasets are needed. However, as different people perceive others' …
People make mistakes: Obtaining accurate ground truth from continuous annotations of subjective constructs
BM Booth, SS Narayanan - Behavior Research Methods, 2024 - Springer
Accurately representing changes in mental states over time is crucial for understanding their
complex dynamics. However, there is little methodological research on the validity and …
complex dynamics. However, there is little methodological research on the validity and …
Modeling Gold Standard Moment-to-Moment Ratings of Perception of Stress from Audio Recordings
EH Nirjhar, T Chaspari - IEEE Transactions on Affective …, 2024 - ieeexplore.ieee.org
Enabling continuous and unobtrusive monitoring of stress is essential for delivering
personalized stress interventions at opportune moments. To achieve automatic stress …
personalized stress interventions at opportune moments. To achieve automatic stress …
农业病虫害图像数据集构建关键问题及评价方法综述
管博伦， 张立平， 朱静波， 李闰枚， 孔娟娟， 汪焱， 董伟 - 智慧农业, 2023 - smartag.net.cn
[目的/意义] 农业病虫害科学数据集是农业病虫害监测预警的基础, 也是发展智慧农业重要的组成
部分, 对农业病虫害防治具有重要意义. 随着深度学习技术在农业病虫害智能监测预警中应用 …
部分, 对农业病虫害防治具有重要意义. 随着深度学习技术在农业病虫害智能监测预警中应用 …
Towards a better gold standard: Denoising and modelling continuous emotion annotations based on feature agglomeration and outlier regularisation
Emotions are often perceived by humans through a series of multimodal cues, such as
verbal expressions, facial expressions and gestures. In order to recognise emotions …
verbal expressions, facial expressions and gestures. In order to recognise emotions …