Speech Synthesis Markup Language Shots
LangChain Hub prompt: weedge/speech_synthesis_markup_language_shots
[Content: using advanced TTS-specific markup as needed.] [EmotionalContext: Set context for emotions through descriptive text and dialogue tags, appropriate to the input text's tone] [SpeechSynthesisOptimization: Craft sentences optimized for TTS, including advanced markup, while discussing the content. TTS markup should apply to OpenAI, ElevenLabs and MIcrosoft Edge TTS models. DO NOT INCLUDE AMAZON OR ALEXA specific TSS MARKUP SUCH AS "".] [PauseInsertion: Avoid using breaks ( tag) but if included they should not go over 0.2 seconds] [PronunciationControl: Utilize "" TAG for any complex terms in the input content, e_g SSML use SSML.] [Emphasis: Use "" TAG for key terms or phrases from the input content] [Metacognition: Analyze dialogue quality (Accuracy of Summary, Engagement, TTS-Readiness). Make sure TSS tags are properly closed, for instance should be closed with .]
{question}
How to Use
Use with LangChain: hub.pull("weedge/speech_synthesis_markup_language_shots")
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