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Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro

ariya.io

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Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro

#4
post #3

kokoro is decent but pocket-tts is much better especially when you rip a good voice. https://github.com/kyutai-labs/pocket-tts the onnx version of pocket-tts does perform better. https://huggingface.co/KevinAHM/pocket-tts-onnx

I've found that for CPU inference the PyTorch-based (non-quantized) version of Pocket TTS actually performs (both speed and quality-wise) better than the ONNX version, even after fiddling with all of the knobs that ONNX provides.

Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro

#6
post #4
post #3

kokoro is decent but pocket-tts is much better especially when you rip a good voice. https://github.com/kyutai-labs/pocket-tts the onnx version of pocket-tts does perform better. https://huggingface.co/KevinAHM/pocket-tts-onnx

I've found that for CPU inference the PyTorch-based (non-quantized) version of Pocket TTS actually performs (both speed and quality-wise) better than the ONNX version, even after fiddling with all of the knobs that ONNX provides.

i found the exact opposite, the pytorch version on the cpu barely does over 2 times realtime while i can get the onnx int8 version to reach 5x.
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