CubeMLP: An MLP-based model for multimodal sentiment analysis and depression estimation
Multimodal sentiment analysis and depression estimation are two important research topics
that aim to predict human mental states using multimodal data. Previous research has …
that aim to predict human mental states using multimodal data. Previous research has …
Machine learning for multimodal mental health detection: a systematic review of passive sensing approaches
As mental health (MH) disorders become increasingly prevalent, their multifaceted
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
symptoms and comorbidities with other conditions introduce complexity to diagnosis, posing …
Transformer encoder with multi-modal multi-head attention for continuous affect recognition
Continuous affect recognition is becoming an increasingly attractive research topic in
affective computing. Previous works mainly focused on modelling the temporal dependency …
affective computing. Previous works mainly focused on modelling the temporal dependency …
End-to-end modeling and transfer learning for audiovisual emotion recognition in-the-wild
As emotions play a central role in human communication, automatic emotion recognition has
attracted increasing attention in the last two decades. While multimodal systems enjoy high …
attracted increasing attention in the last two decades. While multimodal systems enjoy high …
[PDF][PDF] Ensembling End-to-End Deep Models for Computational Paralinguistics Tasks: ComParE 2020 Mask and Breathing Sub-Challenges.
This paper describes deep learning approaches for the Mask and Breathing Sub-
Challenges (SCs), which are addressed by the INTERSPEECH 2020 Computational …
Challenges (SCs), which are addressed by the INTERSPEECH 2020 Computational …
A multimodal approach for mania level prediction in bipolar disorder
Bipolar disorder is a mental health disorder that causes mood swings that range from
depression to mania. Clinical diagnosis of bipolar disorder is based on patient interviews …
depression to mania. Clinical diagnosis of bipolar disorder is based on patient interviews …
Two-stage temporal modelling framework for video-based depression recognition using graph representation
Video-based automatic depression analysis provides a fast, objective and repeatable self-
assessment solution, which has been widely developed in recent years. While depression …
assessment solution, which has been widely developed in recent years. While depression …
A computational look at oral history archives
F Pessanha, AA Salah - ACM Journal on Computing and Cultural …, 2021 - dl.acm.org
Computational technologies have revolutionized the archival sciences field, prompting new
approaches to process the extensive data in these collections. Automatic speech recognition …
approaches to process the extensive data in these collections. Automatic speech recognition …
Tensorformer: A tensor-based multimodal transformer for multimodal sentiment analysis and depression detection
H Sun, YW Chen, L Lin - IEEE Transactions on Affective …, 2022 - ieeexplore.ieee.org
Sentiment analysis is an important research field aiming to extract and fuse sentimental
information from human utterances. Due to the diversity of human sentiment, analyzing from …
information from human utterances. Due to the diversity of human sentiment, analyzing from …
[PDF][PDF] Is Everything Fine, Grandma? Acoustic and Linguistic Modeling for Robust Elderly Speech Emotion Recognition.
G Sogancioglu, O Verkholyak, H Kaya… - …, 2020 - interspeech2020.org
Acoustic and linguistic analysis for elderly emotion recognition is an under-studied and
challenging research direction, but essential for the creation of digital assistants for the …
challenging research direction, but essential for the creation of digital assistants for the …