Results 31 to 40 of about 7,606,948 (285)
End-to-End Speech Synthesis Based on BERT [PDF]
To address the problems of low training and prediction efficiency of RNN-based neural network speech synthesis mo-dels and long-distance information loss, an end-to-end BERT-based speech synthesis method is proposed to use the Self-Attention Mechanism ...
AN Xin, DAI Zi-biao, LI Yang, SUN Xiao, REN Fu-ji
doaj +1 more source
Emotion Recognition in Immersive Virtual Reality: From Statistics to Affective Computing. [PDF]
Emotions play a critical role in our daily lives, so the understanding and recognition of emotional responses is crucial for human research. Affective computing research has mostly used non-immersive two-dimensional (2D) images or videos to elicit ...
Marín-Morales J +3 more
europepmc +2 more sources
Trusted affective computing based on hysteresis characteristics of the elderly
By using the hysteresis characteristics in the cognitive psychological characteristics of the elderly, combined with an affective computing model based on Gross cognitive reappraisal, this paper takes consideration of the influence of the hysteresis ...
HAN Jing +4 more
doaj +1 more source
We present a circuit design of the hierarchical attention network for multimodal affective computing, which can be used in mental health monitoring.
Zhekang Dong +5 more
semanticscholar +1 more source
Techniques for facial affective computing: A review
Facial affective computing has gained popularity and become a progressive research area, as it plays a key role in human-computer interaction. However, many researchers lack the right technique to carry out a reliable facial affective computing ...
Bashir Eseyin Abdullahi +3 more
doaj +1 more source
Toward Explainable Affective Computing: A Review
Affective computing has an unprecedented potential to change the way humans interact with technology. While the last decades have witnessed vast progress in the field, multimodal affective computing systems are generally black box by design. As affective
Karina Cortiñas-Lorenzo, Gerard Lacey
semanticscholar +1 more source
GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing [PDF]
Multimodal large language models (MLLMs) are designed to process and integrate information from multiple sources, such as text, speech, images, and videos.
Hao Lu +14 more
semanticscholar +1 more source
Drug-Drug Interaction Extraction Based on Transfer Weight Matrix and Memory Network
Extracting drug-drug interaction (DDI) in the text is the process of identifying how two target drugs in a given sentence interact. Previous methods, which were limited to conventional machine learning techniques, we are susceptible to issues such as ...
Juan Liu, Zhong Huang, Fuji Ren, Lei Hua
doaj +1 more source
Steel surface defect classification is critical for industrial quality control, yet existing methods struggle to balance accuracy and efficiency for real-time deployment in vision-based sensor systems.
Xiang Zou +4 more
doaj +1 more source
Tempo is an important musical element that affects human’s emotional processes when listening to music. However, it remains unclear how tempo and training affect individuals’ emotional experience of music.
Ying Liu +23 more
doaj +1 more source

