1 paper
Laurin Wagner, Bernhard Thallinger, Miroslav Stankovic +1
Discrete speech tokenizers aim to disentangle semantic from acoustic information, yet targets from self-supervised learning (SSL) models like HuBERT retain non-linguistic variation…