Deep learning and spoken language processing
Gasper Begus, Professor
Linguistics
Closed. This professor is continuing with Fall 2023 apprentices on this project; no new apprentices needed for Spring 2024.
This project models spoken language from raw audio using deep generative neural networks (GANs). We use audio, neural, and behavioral data in spoken language to better understand and interpret deep learning models.
Role: The undergraduate student will help with:
(i) coding the models in Pytorch
(ii) running the models in Savio
(iii) helping with data analysis (acoustic and statistical analysis in Praat, Librosa, R)
Qualifications: Coding knowledge in PyTorch (or Tensorflow) required, knowledge of machine learning theory. Students with interest in CS, cognitive science, linguistics, and signal processing are very welcome to apply.
Hours: to be negotiated
Related website: https://gbegus.github.io/
Related website: https://www.youtube.com/channel/UCH16qHjOg8rbcAc_mtZo7Vw