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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656 commits | Last update: April 13, 2022

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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
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Programming Language
  • Python
License
  • Apache-2.0
Source code

Contributors

  • Patrick Bos
    Netherlands eScience Center
  • Christiaan Meijer
    Netherlands eScience Center
  • Grzegorz Chrupala
    Tilburg University
Contact person
Patrick Bos
Netherlands eScience Center

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