name: "TTS Audio Mastering" description: "Practical mastering steps for TTS audio: cleanup, loudness normalization, alignment, and delivery specs."
This skill focuses on producing clean, consistent, and delivery-ready TTS audio for video tasks. It covers speech cleanup, loudness normalization, segment boundaries, and export specs.
Choose a TTS engine based on deployment constraints and quality needs:
Key rule: Always confirm the native sample rate of the generated audio before resampling for video delivery.
Apply lightweight processing to avoid common artifacts:
Recommended FFmpeg pattern (example):
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Target loudness depends on the benchmark/task spec. A common target is ITU-R BS.1770 loudness measurement:
Recommended workflow:
ebur128 (or equivalent meter).loudnorm) as the final step after cleanup and timing edits.When stitching segment-level TTS into a full track:
Sync guideline: keep end-to-end drift small (e.g., <= 0.2s) unless the task states otherwise.
這個 Skill 質量中規中矩,優點是內容針對性強,涵蓋了 TTS 音訊製作的核心步驟,並給出了明確的技術指標建議。缺點是內容較為簡略,缺少詳細的操作示例和常見問題處理方法,實際使用時可能需要額外查閱資料。適合有一定基礎的使用者參考,新手使用可能會感到指引不夠充分。