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Found 3 papers, 1 papers with code
Speech Emotion Recognition Via CNN-Transforemr and Multidimensional Attention Mechanism
In this paper, to model local and global information at different levels of granularity in speech and capture temporal, spatial and channel dependencies in speech signals, we propose a Speech Emotion Recognition network based on CNN-Transformer and multi-dimensional attention mechanisms.
V2VSSC: A 3D Semantic Scene Completion Benchmark for Perception with Vehicle to Vehicle Communication
Extensive experiments demonstrate that by leveraging V2V communication, the SSC performance can be increased by 8. 3% on geometric metric IoU and 6. 0% mIOU.
Explore the difficulty of words and its influential attributes based on the Wordle game
Afterwards, we take advantage of lasso regression to predict the deviation of guessing times expectation and quadratic programming to obtain the correction of the original distribution. To predict the difficulty levels, we first use hierarchical clustering to classify the difficulty levels based on the expectation of guessing times.
