Cultural Vocal Bursts Intensity Prediction
93 papers with code • 1 benchmarks • 1 datasets
to predict the intensity of 40 culture-specific emotions (10 emotions from each culture)
Benchmarks
These leaderboards are used to track progress in Cultural Vocal Bursts Intensity Prediction
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Libraries
Use these libraries to find Cultural Vocal Bursts Intensity Prediction models and implementations
HUME-VB
Most implemented papers
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms
Results are presented for a case study of targeting the Qualcomm Snapdragon 820 mobile computing platform for CNN deployment.
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
We introduce a data-driven approach to aid the repairing and conservation of archaeological objects: ORGAN, an object reconstruction generative adversarial network (GAN).
Survey on Emotional Body Gesture Recognition
Automatic emotion recognition has become a trending research topic in the past decade.
A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos
Thanks to the advances in the technology of low-cost digital cameras and the popularity of the self-recording culture, the amount of visual data on the Internet is going to the opposite side of the available time and patience of the users.
The Geometry of Culture: Analyzing Meaning through Word Embeddings
We demonstrate the utility of a new methodological tool, neural-network word embedding models, for large-scale text analysis, revealing how these models produce richer insights into cultural associations and categories than possible with prior methods.
An empirical study on the names of points of interest and their changes with geographic distance
While Points Of Interest (POIs), such as restaurants, hotels, and barber shops, are part of urban areas irrespective of their specific locations, the names of these POIs often reveal valuable information related to local culture, landmarks, influential families, figures, events, and so on.
Chinese Poetry Generation with a Working Memory Model
Different from previous methods, our model explicitly maintains topics and informative limited history in a neural memory.
The Neural Hype and Comparisons Against Weak Baselines
Sculley et al. remind us that "the goal of science is not wins, but knowledge".
MOROCO: The Moldavian and Romanian Dialectal Corpus
In this work, we introduce the MOldavian and ROmanian Dialectal COrpus (MOROCO), which is freely available for download at https://github. com/butnaruandrei/MOROCO.
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
By amassing the largest known dataset of bacterial Raman spectra, we are able to apply state-of-the-art deep learning approaches to identify 30 of the most common bacterial pathogens from noisy Raman spectra, achieving antibiotic treatment identification accuracies of 99. 0$\pm$0. 1%.
