Multi-dimensional Speech Tuning Strategies
For the problem of strong mechanical sense of synthesized speech, TRV provides a three-layer optimization path:
- Model Selection:Basic Scene
--model=tts-1(low cost), optional for fidelity pursuit--model=Zyphra/Zonos-v0.1-hybrid(8GB VRAM required) - Tone customization:pass (a bill or inspection etc)
--voice=american_male/bm_lewisToggle pronouncer personality, compatible with different scenarios emotional needs - Rhyme Control:Use [breath] to mark pauses and ALL_CAPS to emphasize accented words in lecture notes
Advanced Tips:1. mixing service provider APIs (e.g. Kokoros+DeepInfra) to compare results 2. specifying speech parameters individually for key slides 3. passing--audio-format=wavPreserve lossless sound post-processing
This answer comes from the articleTRV: Rapidly Generate Presentation Videos from Slides/PPTs and Explanatory NotesThe
May not be reproduced without permission:AI productivity tools " How to optimize the naturalness and expressiveness of AI-generated speech?
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