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

 (ariya.io)

37 points | by speckx 1 hour ago

7 comments

  • dvt 3 minutes ago
    I'm using Kokoro for a fun little side-project browser-based game I'm working on. It's legitimately super good for being only 85mb (for the wasm version) or 300mb (for the webgpu version).
  • kn100 27 minutes ago
    I'm using exactly this TTS engine for my intercom door system I built. The quality of the TTS is very good.
  • elevation 12 minutes ago
    Any good debian-ish distros that integrate TTS and STT in a usable shell?
  • 0gs 17 minutes ago
    kokoro is surprisingly great at nuance but it's tough to improve that last ~2% or so. kokoro + rvc is really great too; i use that for ELEMENT47, the LLM-centric comedy podcast i do that i wish more people would listen to. (e47.net , feel free to subscribe!)
  • teravor 32 minutes ago
    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

    [-]
    • mscdex 27 minutes ago
      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.
      [-]
      • teravor 25 minutes ago
        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.
  • SubiculumCode 8 minutes ago
    kokoro is very nice, but I am disappointed that this wasn't an announcement of a new kokoro version.
  • lostmsu 43 minutes ago
    > Apple M2 Pro: 4.5 seconds

    > AMD Ryzen 7 8745HS: 1.5 seconds

    These two can probably do it much faster on their iGPUs.