A new research paper published on arXiv explores the nuances of speaker control in continuous-latent text-to-speech (TTS) systems. The study, titled "Decodability Is Not Controllability," demonstrates that high linear decodability does not necessarily equate to causal controllability. Researchers found that while certain layers in models like VoxCPM2 retain high accuracy for speaker identification, direct edits to these states do not reliably produce the intended target speaker's voice. Conversely, interventions at earlier stages of the acoustic language model proved more effective for achieving accurate speaker control. AI
IMPACT This research highlights a critical distinction in TTS model development, suggesting that current methods may overemphasize decodability at the expense of true controllability, potentially impacting future voice synthesis technologies.
RANK_REASON Research paper published on arXiv detailing findings on TTS model controllability. [lever_c_demoted from research: ic=1 ai=1.0]
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