Generative approach using soft-labels to learn uncertainty in predicting emotional attributes
This paper presents a novel speech emotion recognition (SER) method to capture the
uncertainty in predicting emotional attributes using the true distribution of scores provided by …
uncertainty in predicting emotional attributes using the true distribution of scores provided by …
Improving the movement synchrony estimation with action quality assessment in children play therapy
Movement synchrony refers to the dynamic temporal connection between the motions of
interacting people. The automatic measurement of movement synchrony is worth studying …
interacting people. The automatic measurement of movement synchrony is worth studying …
[HTML][HTML] Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment
In order to study how early emotional experiences shape infant development, one approach
is to analyze the emotional content of speech heard by infants, as captured by child …
is to analyze the emotional content of speech heard by infants, as captured by child …
Inferring emotion from large-scale internet voice data: A semi-supervised curriculum augmentation based deep learning approach
S Zhou, J Jia, Z Wu, Z Yang, Y Wang, W Chen… - Proceedings of the …, 2021 - ojs.aaai.org
Effective emotion inference from user queries helps to give a more personified response for
Voice Dialogue Applications (VDAs). The tremendous amounts of VDA users bring in …
Voice Dialogue Applications (VDAs). The tremendous amounts of VDA users bring in …
You're Not You When You're Angry: Robust Emotion Features Emerge by Recognizing Speakers
Z Aldeneh, EM Provost - IEEE Transactions on Affective …, 2021 - ieeexplore.ieee.org
The robustness of an acoustic emotion recognition system hinges on first having access to
features that represent an acoustic input signal. These representations should abstract …
features that represent an acoustic input signal. These representations should abstract …
[PDF][PDF] Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition.
Due to the lack of sufficient speech emotional data, the recognition performance of existing
speech emotion recognition (SER) approaches is relatively low and requires further …
speech emotion recognition (SER) approaches is relatively low and requires further …
Continuous metric learning for transferable speech emotion recognition and embedding across low-resource languages
S Das, NL Lund, NN Lønfeldt, AK Pagsberg… - arXiv preprint arXiv …, 2022 - arxiv.org
Speech emotion recognition~(SER) refers to the technique of inferring the emotional state of
an individual from speech signals. SERs continue to garner interest due to their wide …
an individual from speech signals. SERs continue to garner interest due to their wide …
Cross‐Corpus Speech Emotion Recognition Based on Transfer Learning and Multi‐Loss Dynamic Adjustment
H Tao, Y Wang, Z Zhuang, H Fu… - Computational …, 2022 - Wiley Online Library
In this paper, we do research on cross‐corpus speech emotion recognition (SER), in which
the training and testing speech signals come from different speech corpus. The mismatched …
the training and testing speech signals come from different speech corpus. The mismatched …
Efficient Annotator Reliability Assessment and Sample Weighting for Knowledge-Based Misinformation Detection on Social Media
Misinformation spreads rapidly on social media, confusing the truth and targetting potentially
vulnerable people. To effectively mitigate the negative impact of misinformation, it must first …
vulnerable people. To effectively mitigate the negative impact of misinformation, it must first …
Automatic analysis of the emotional content of speech in daylong child-centered recordings from a neonatal intensive care unit
Researchers have recently started to study how the emotional speech heard by young
infants can affect their developmental outcomes. As a part of this research, hundreds of …
infants can affect their developmental outcomes. As a part of this research, hundreds of …