A hand-designed, training-free step schedule prunes later sampling steps in flow-matching TTS, cutting F5-TTS inference cost by about 4x while keeping quality roughly unchanged.
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Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step Sampling
A hand-designed, training-free step schedule prunes later sampling steps in flow-matching TTS, cutting F5-TTS inference cost by about 4x while keeping quality roughly unchanged.