Define TTS engine interfaces, synthesis parameters, and exception handling guidelines.
npx skills add https://github.com/Aliisa-yt/twitchbot --skill tts-engine-spec
Please help me install this Agent Skill. Skill: tts-engine-spec Source: https://github.com/Aliisa-yt/twitchbot/tree/main/.github/skills/tts-engine-spec Command: npx skills add https://github.com/Aliisa-yt/twitchbot --skill tts-engine-spec
This Skill provides a standardized interface and detailed specifications for integrating various Text-to-Speech (TTS) engines, ensuring consistent behavior and simplifying development.
Consult the documentation for implementing a new TTS engine within the core/tts/engines directory.
High-intent search queries and answers about installing and using this skill.
To standardize TTS engine interfaces, define a common contract for initialization, speech synthesis, and audio file handling. This ensures consistent behavior across engines like VOICEVOX, CevioAI, and GoogleText2Speech, simplifying integration and development.
Expected TTS synthesis parameters include ranges, default values, and specific behaviors for speed scaling, pitch, and volume. Parameter normalization ensures these inputs are consistently processed across different TTS engine implementations.
Normalize TTS exception handling by mapping errors from various engines to a consistent set of guidelines. This approach standardizes error reporting and recovery across different TTS engines within the integration directory.
Yes, you can use this specification to implement a new VOICEVOX compatible engine. Developers consult the interface and parameter specifications to ensure new engines match the expected API interactions and predictable outcomes.
Yes, the TTS engine specification supports BouyomiChan and CoeiroInk. It details API interactions, parameter normalization, and error mapping specifically for these engines to ensure consistent integration.
The best way to ensure consistent GoogleText2Speech behavior is to follow a standardized interface covering initialization, speech synthesis, and audio handling. This guarantees compatibility and predictable outcomes during integration.
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