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E2TTS: filler-token text alignment through flow-based audio infilling

Contribution grade

Non-autoregressive text-to-speech · Human-designed research method or resource

Reference score65,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Padded character text with filler tokens and trained flow-based mel infilling to support non-autoregressive zero-shot speech without explicit phoneme alignment/duration modules.

Scientific scope

Padded character text with filler tokens and trained flow-based mel infilling to support non-autoregressive zero-shot speech without explicit phoneme alignment/duration modules. Inherits flow matching, audio infilling and zero-shot TTS. Removing explicit alignment modules is not exact alignment or universal human-level speech; length handling and generation computation remain.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Inherits flow matching, audio infilling and zero-shot TTS. Removing explicit alignment modules is not exact alignment or universal human-level speech; length handling and generation computation remain.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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