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Found 4 papers, 0 papers with code
Speech-driven Personalized Gesture Synthetics: Harnessing Automatic Fuzzy Feature Inference
Finally, we employ the diffusion model to train and infer various gestures.
Audio is all in one: speech-driven gesture synthetics using WavLM pre-trained model
Firstly, considering that speech audio not only contains acoustic and semantic features but also conveys personality traits, emotions, and more subtle information related to accompanying gestures, we pioneer the adaptation of WavLM, a large-scale pre-trained model, to extract low-level and high-level audio information.
Towards Accurate Deceptive Opinion Spam Detection based on Word Order-preserving CNN
In order to effectively identify deceptive opinions, we need to comprehensively study the characteristics of deceptive opinions, and explore novel characteristics besides the textual semantics and emotional polarity that have been widely used in text analysis.
Condensed Memory Networks for Clinical Diagnostic Inferencing
We introduce condensed memory neural networks (C-MemNNs), a novel model with iterative condensation of memory representations that preserves the hierarchy of features in the memory.
