TADA: Fast, Reliable Speech Generation Through Text-Acoustic Synchronization

Automated excerpt

A second of audio might be 2–3 text tokens but 12. 5–25 acoustic frames. This mismatch means LLM-based TTS systems must manage sequences where audio tokens vastly outnumber text tokens — leading to longer context windows, higher memory consumption, slower inference, and more opportunities for the model to lose track of what it's supposed to say. Most existing systems address this by reducing audio frame rates or introducing intermediate "semantic" tokens between text and audio.

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