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.

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What Platalea can do for you

  • 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
  • Python 100%
License
</>Source code

Participating organisations

Social Sciences & Humanities
Social Sciences & Humanities
Netherlands eScience Center

Contributors

Contact person

Patrick Bos

Patrick Bos

Netherlands eScience Center
Mail Patrick
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 20 months ago
Finished