Love this model. I’m GPU poor and have had FOMO that I haven’t played with local models at all. About a month ago I setup Kokoro on my GTX1650 to do TTS for an article reader. A simple WebUI lets me paste a URL or a chunk of copy pasted text. Python cleans it up and sends to Kokoro for TTS and it’s then served via RSS for Apple Podcasts. Then for my morning drive I’ll catch up on articles or blog posts I’ve gathered.…
Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
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Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#72I built a pipeline through hermes using edge-tts to automate and listen to links that I provide to it just this morning, google notebooklm style. I replaced the TTS model with Kokoro after seeing this post, thank you. Here's the pipeline if anyone is interested. https://www.klaweht.com/2026-07-07-link-to-podcast-rss-pipel... By the way, it took hermes just around 10-15 minutes to build first iteration. I am impressed…
you should include an example of the output of your own blog post :)
Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#73I use kokoro with home assistant and its great. I find its the most natural sounding and small too. I speak over sonos speakers when certain events happen. And use it as my voice assistant.
Did you use a Wyoming protocol wrapper to integrate with home assistant? Is it publicly available? https://www.home-assistant.io/integrations/wyoming/
Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#74Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#75Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#76kokoro 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
Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#77Fun... This is something I actually care about... I used to keep a version of whisperx around, because I think it's important to have not just transcription, but also timing and speaker identification (e.g. for subtitles)... It depends on pyannote, though, which has some wierd licensing (and is tougher to script the installs because of it), so I wanted to look at something that both had better transcription, and supp…
Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#78I just hooked it up to my personal AI Japanese Teacher app, pretty good quality / natural sounding speech in mixed English / Japanese while running fast on CPU so I don't waste VRAM.
Was just thinking of making exactly that. I have made Kokoro the voice of my local LLM (qwen 3.6). What do you use for a Japanese tutor app?
Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#79It crashes as soon as you put a little paragraph of text on Apple M2 Pro. Hard pass. Why do these half baked projects get all the attention and thousands of clicks when it just takes a simple thing to bring the whole castle down?
Re: Local, CPU-Friendly, High-Quality TTS (Text-to-Speech) with Kokoro
#80You can tweak the pitch as well.