DiTAR+: Dual Optimization for Robust Autoregressive Diffusion Speech Synthesis
The proposed DiTAR+, a dual-optimization framework for continuous-latent Autoregressive Diffusion Transformer models, introduces Dilated Context Sampling and Hierarchical Acoustic Masking to prevent shallow layers from attending to acoustic pre-context, explicitly decoupling semantic alignment from acoustic detail reco...
Zi-Yu Zhang, Tian-Lun Zuo, Han-Zhao Li et al.
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