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text-to-speech

Practical mastering steps for TTS audio: cleanup, loudness normalization, alignment, and delivery specs.

tasks/multilingual-video-dubbing/environment/skills/text-to-speech/SKILL.md

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# SKILL: TTS Audio Mastering

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.

## 1. TTS Engine & Output Basics

Choose a TTS engine based on deployment constraints and quality needs:

* **Neural offline** (e.g., Kokoro): stable, high quality, no network dependency.
* **Cloud TTS** (e.g., Edge-TTS / OpenAI TTS): convenient, higher naturalness but network-dependent.
* **Formant TTS** (e.g., espeak-ng): for prototyping only; often less natural.

**Key rule:** Always confirm the **native sample rate** of the generated audio before resampling for video delivery.