Generation efficiency can be significantly improved by.
- text control:: Reduce the length of text and avoid complex punctuation wherever possible
- Environment Configuration:: Utilizes a higher performance CPU (tests have shown that the M1 chip takes only 19 seconds to generate 26 seconds of audio)
- Preprocessing Optimization: Preload model and cache weights (stored locally after first run)
- voice selection:: Selection of simpler preset voice styles
Empirical tests have shown that generating a short 10-word text is about 3 times faster than a long 50-word text in the same hardware environment. Developers can also use the time.time()Perform speed tests to locate performance bottlenecks.
This answer comes from the articleKittenTTS: Lightweight Text-to-Speech ModelingThe
May not be reproduced without permission:AI productivity tools " How to optimize KittenTTS speech generation speed on low-end CPUs?
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