Cross-corpus
21 papers with code • 0 benchmarks • 0 datasets
Benchmarks
These leaderboards are used to track progress in Cross-corpus
Most implemented papers
Inverse-Category-Frequency based supervised term weighting scheme for text categorization
Term weighting schemes often dominate the performance of many classifiers, such as kNN, centroid-based classifier and SVMs.
Readability-based Sentence Ranking for Evaluating Text Simplification
We propose a new method for evaluating the readability of simplified sentences through pair-wise ranking.
Generative Adversarial Nets for Multiple Text Corpora
Generative adversarial nets (GANs) have been successfully applied to the artificial generation of image data.
Transfer Learning for Improving Speech Emotion Classification Accuracy
raulsteleac/Speech_Emotion_Recognition
•
•
The majority of existing speech emotion recognition research focuses on automatic emotion detection using training and testing data from same corpus collected under the same conditions.
Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages
Cross-lingual speech emotion recognition is an important task for practical applications.
A novel policy for pre-trained Deep Reinforcement Learning for Speech Emotion Recognition
In addition, extended learning period is a general challenge for deep RL which can impact the speed of learning for SER.
A Neural Pairwise Ranking Model for Readability Assessment
jlee118/nprm
•
•
Findings (ACL) 2022
Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is traditionally treated as a classification problem in NLP research.
Dawn of the transformer era in speech emotion recognition: closing the valence gap
Recent advances in transformer-based architectures which are pre-trained in self-supervised manner have shown great promise in several machine learning tasks.
In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study
ElenaRyumina/EMO-AffectNetModel
•
•
Neurocomputing 2022
Many researchers have been seeking robust emotion recognition system for already last two decades.
SPEAKER VGG CCT: Cross-corpus Speech Emotion Recognition with Speaker Embedding and Vision Transformers
In this paper, we start from the general idea above and develop a new learning solution for SER, which is based on Compact Convolutional Transformers (CCTs) combined with a speaker embedding.
