Attention Visualization And Interpretability For Debugging Synthesis Quality

text-to-speech model by undefined. 6,61,227 downloads.

Unique: Exposes multi-level attention (text-to-mel, speaker-to-mel, prosody-to-mel) with per-diffusion-step visualization, enabling fine-grained analysis of how different conditioning signals influence synthesis; includes automatic alignment extraction without external forced-alignment tools

vs others: More detailed than Bark's limited logging and enables deeper debugging than XTTS-v2's opaque inference pipeline