3 accepted papers
Recently, continuous transform-based tensor representation has emerged as a promising tool for multi-dimensional data recovery. However, the existing continuous transforms are essentially single-layer linear mappings, which limits their ability to capture the complex relationships inherent in multi
Acoustic Unit Discovery (AUD) aims to obtain phoneme-like units that preserve linguistically significant information while removing paralinguistic details. Although Contrastive Predictive Coding (CPC) has emerged as a leading self-supervised representation learning method for this task, CPC-based me…
Conversational speech synthesis (CSS) aims to synthesize both contextually appropriate and expressive speech, and considerable efforts have been made to enhance the understanding of conversational context. However, existing CSS systems are limited to deterministic prediction, overlooking the diversi…