2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.SD2026
Revise-TTS: A Non-Masking Refinement Framework for Masked Diffusion Models in Text-to-Speech
Wanli Sun, Dan Su, Anton Ragni
Text-to-speech (TTS) based on masked diffusion models (MDMs) achieves competitive zero-shot speech synthesis performance. Unlike autoregressive (AR) models, MDMs define a corruptio…
cs.SD2025
Score-Based Training for Energy-Based TTS Models
Wanli Sun, Anton Ragni
Noise contrastive estimation (NCE) is a popular method for training energy-based models (EBM) with intractable normalisation terms. The key idea of NCE is to learn by comparing unn…
cs.SD2023★ 2 cited
Energy-Based Models For Speech Synthesis
Wanli Sun, Zehai Tu, Anton Ragni
Recently there has been a lot of interest in non-autoregressive (non-AR) models for speech synthesis, such as FastSpeech 2 and diffusion models. Unlike AR models, these models do n…