3 accepted papers
Prevalent semantic speech tokenizers, designed to capture linguistic content, are surprisingly fragile. We find they are not robust to meaning-irrelevant acoustic perturbations; even at high Signal-to-Noise Ratios (SNRs) where speech is perfectly intelligible, their output token sequences can change…
Persuasive dialogue is a type of dialogue commonly used in human daily life in scenarios such as promotion and sales. Its purpose is to influence the decision, attitude or behavior of another person through the dialogue process. Persuasive automated dialogue systems can be applied in a variety of fi…
Word Segmentation is a fundamental step for understanding Chinese language. Previous neural approaches for unsupervised Chinese Word Segmentation (CWS) only exploits shallow semantic information, which can miss important context. Large scale Pre-trained language models (PLM) have achieved great succ…