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non-autoregressive-tts

topic1 events
papersTODAY 04:00 UTC

Revisable CTMC Inference Stack Proposed for Guided Discrete Flow Matching TTS

A new arXiv paper introduces a mask-sample-revise inference pipeline built on continuous-time Markov chains for guided discrete flow matching in text-to-speech. The approach targets alignment-free non-autoregressive TTS systems that treat synthesis as conditional infilling over neural codec tokens, avoiding separate duration predictors and external aligners. It proposes letting the sampling process revisit and correct earlier token decisions during generation.

text-to-speech/diffusion/arxiv/codec-tokens