Resources
Videos and teaching
My videos are all available on YouTube. I provide links to selected video lists below.
- Introduction to machine learning (Data Analytics 414)
- Introduction to natural language processing (NLP817)
- Introduction to digital signal processing (SS414)
- Introduction to neural networks [slides, notes]
- Introduction to speech features [slides]
- Dynamic time warping [slides, notebook]
- Our Git workflow [notes]
For Stellenbosch University students
- Getting started with the Stellenbosch HPC by Matthew Baas
- Electrical and Electronic Engineering LaTeX template [Overleaf]
- Stellenbosch University Style Guide
Invited talks
- Voice conversion and the geometry of self-supervised speech representations
Conversational AI Reading Group, Concordia University, 2025 [video] - Speech systems that emulate language acquisition in humans
SLS, MIT, 2024
ILCC, University of Edinburgh, 2024 - Multimodal few-shot learning & probing self-supervised speech models
LSCP, Ecole Normale Supérieure, 2023 - What can large spoken language models tell us about speech?
IndabaX South Africa, University of Cape Town, 2023 [video] - Unsupervised word segmentation using dynamic programming on self-supervised speech representations
AAAI SAS Workshop, Invited Talk, 2022 [video] - Learning acoustic units and words from unlabelled speech (with a bit of vision)
CLSP Seminar, Johns Hopkins University, 2020 - (Outrageously) low-resource speech processing
Deep Learning Indaba, Nairobi, 2019 [video] - Multimodal learning from images and speech
Aalto University & Tampere University, 2019
KU Leuven & UPF Barcelona, 2019 - Acoustic word embeddings for low resource speech processing
TWiML&AI Podcast, 2018 - Frontiers of natural language processing
With Sebastian Ruder. Deep Learning Indaba, Stellenbosch, 2018 - Deep learning for (more than) speech recognition
IndabaX Western Cape, University of Cape Town, 2018 [video] - Learning from unlabelled speech, with and without visual cues
Ohio State University, 2017
CLIP Colloquium Speaker, University of Maryland, 2017 - Unsupervised neural and Bayesian models for zero-resource speech processing
CSAIL, MIT, 2016 - Unsupervised speech processing using acoustic word embeddings
MLSLP Workshop, Spotlight Speaker, 2016