Language and Speech Processing
A tour through modern NLP and speech technologies. The course starts with the basics of text processing and word representations, then explores how the transformer architecture and self-supervised learning have changed the field. The second half focuses on speech: how models learn from raw audio and how the same ideas that power large language models also apply to sound.
SLP · UKE · MASTER · English · AI & Cybersecurity · Winter semester · 2025–ongoing
NLP Fundamentals
Word Embeddings
Self-Supervised Learning
Transformers
BERT / BART / T5 / GPT
wav2vec 2.0
HuBERT
Whisper
Interactive Tools
Resources
More materials will appear here as the course progresses.