Abstract: Self-supervised speech representation learning (S3RL) models like wav2vec2.0, Hidden-unit BERT (HuBERT), and WavLM are trained with a great amount of speech data and subsequently give a ...

adoc - Export in png and create an additional asciidoc file (with support external links). md - Export in png and create an additional markdown file (with support external links). Pull requests are ...

This representation, as any global metric of a graph, can be used to identify the model generator of the observed network. In this study, we use our graph representation combined with Random Forest ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques ...

py-pde is a Python package for solving partial differential equations (PDEs). The package provides classes for grids on which scalar and tensor fields can be defined. The associated differential ...

Here, we present stGuide, an attention-based supervised graph learning ... embedding space using an attention-based mechanism. It then assigns spot-level labels by incorporating information from the ...

There’s the chance that a lot of people end up using this: Barnes declined to share a specific figure of how many people use smart replies, but says that “there are plenty of people that do.” ...