IMPROVING NATURALNESS IN GENERATIVE SPOKEN LANGUAGE MODELS

Summary from the TLDR AI newsletter

An end‑to‑end variational encoder that augments semantic speech tokens with automatically learned prosodic features, removing hand‑engineered pitch inputs and yielding more natural continuations in human preference tests.