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Found 7 papers, 4 papers with code
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing
We focus on using the predictive uncertainty signal calculated by Bayesian neural networks to guide learning in the self-same task the model is being trained on.
Evaluating Deep Music Generation Methods Using Data Augmentation
We achieve this by measuring the change in predictive performance of a music mood/theme classifier after augmenting its training data with generated samples.
An Improved StarGAN for Emotional Voice Conversion: Enhancing Voice Quality and Data Augmentation
Emotional Voice Conversion (EVC) aims to convert the emotional style of a source speech signal to a target style while preserving its content and speaker identity information.
What Makes a Scientific Paper be Accepted for Publication?
Despite peer-reviewing being an essential component of academia since the 1600s, it has repeatedly received criticisms for lack of transparency and consistency.
MuSe 2020 -- The First International Multimodal Sentiment Analysis in Real-life Media Challenge and Workshop
Multimodal Sentiment Analysis in Real-life Media (MuSe) 2020 is a Challenge-based Workshop focusing on the tasks of sentiment recognition, as well as emotion-target engagement and trustworthiness detection by means of more comprehensively integrating the audio-visual and language modalities.
Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh
The Poisson equation is commonly encountered in engineering, for instance in computational fluid dynamics (CFD) where it is needed to compute corrections to the pressure field to ensure the incompressibility of the velocity field.
