According to community test data, KittenTTS has excellent speech generation speed. For example, it takes only about 19 seconds to generate 26 seconds of audio on an M1 Mac device. Its lightweight architecture (15 million parameters) and CPU-optimized design bring this advantage. Users can accurately measure the generation time via Python code, and short text and simple punctuation are recommended to further improve speed. It is worth noting that the model weights are cached locally and subsequent generation will take less time to load.
This answer comes from the articleKittenTTS: Lightweight Text-to-Speech ModelingThe
May not be reproduced without permission:AI productivity tools " How does KittenTTS perform in terms of speech generation speed?
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