A powerful 3B-parameter, LLM-based Reinforcement Learning audio edit model excels at editing emotion, speaking style, and paralinguistics, and features robust zero-shot text-to-speech

Aligning latent space of speaking style with human perception using a re-embedding strategy

Scripts for analyzing how the extent of coarticulation varies across different communicative contexts using speech samples from the LUCID corpus