Resources

Code

Most of my code is available on GitHub, as also noted with each of the publications. Below is a summary of some of the main repositories.

Notes

Hopefully someone else might also find these notes useful. Let me know if you find any mistakes or have any comments.

  • Gibbs sampling for fitting finite and infinite Gaussian mixture models. [pdf, code]
  • Vector and matrix calculus. [pdf]

Invited talks

  • MIT, Computer Science and Artificial Intelligence Laboratory, 2016.
    Unsupervised neural and Bayesian models for zero-resource speech processing. [slides]
  • Workshop on Machine Learning in Speech and Language Processing, Spotlight Speaker, 2016.
    Unsupervised speech processing using acoustic word embeddings. [slides]