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Platalea

Platalea contains deep neural network architectures for modeling spoken language from multiple sources at once: audio, and simultaneously images, text or video. This can be used to learn about what different context sources add to the language acquisition process.

3
contributors

Cite this software

DOI:

10.5281/zenodo.4311601

Description

  • Provides dataloaders and models for researchers in speech acquistion
  • Trains models and contains a number of experiments used in publications that can be reproduced and modified
Keywords
No keywords available
Programming language
License
</>Source code

Participating organisations

Social Sciences & Humanities
Social Sciences & Humanities
Netherlands eScience Center

Contributors

Contact person

Patrick Bos
GC
Grzegorz Chrupala
Tilburg University
Patrick Bos
Patrick Bos
Netherlands eScience Center

Related projects

Understanding visually grounded spoken language via multi-tasking

An alternative approach for intelligent systems to understand human speech

Updated 30 months ago
Finished