I'd love to see a monolingual Japanese model sometime in the future. Qwen3-tts works for Japanese in general, but from time to time it will mix with some Mandarin in between, making it unusable.
Show HN: Three new Kitten TTS models – smallest less than 25MB
121–130 of 201 posts
Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#122Earlier quoted context omitted.
I'm jealous. It took me far longer and much more frustration to get it to run. Had to get the right Python version and make sure it didn't break anything with the previous Python version. A friend suggested using Docker, so I started down that path until I realized I'd probably have to set the whole thing up there myself. Eventually got it to run and I think I didn't break anything else. I hate Python so much.
why you don't use some kind of environment, Conda or something like that?
I did eventually do that though, and I'm pretty sure I had to mess about with installing and uninstalling torch.
I dread using anything made in python because of this. It's always annoying and never just works (if the version of python is incompatible, otherwise it's fine) .
Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#123Earlier quoted context omitted.
I'm jealous. It took me far longer and much more frustration to get it to run. Had to get the right Python version and make sure it didn't break anything with the previous Python version. A friend suggested using Docker, so I started down that path until I realized I'd probably have to set the whole thing up there myself. Eventually got it to run and I think I didn't break anything else. I hate Python so much.
why you don't use some kind of environment, Conda or something like that?
I suspect success is highly variable on macOS vs. Linux; the spacey bug is only in newer (3.14 only or later) Pythons, which Linux will have.
Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#124I'd love to see a monolingual Japanese model sometime in the future. Qwen3-tts works for Japanese in general, but from time to time it will mix with some Mandarin in between, making it unusable.
You could try a preprocessing step where you convert to hiragana, but I guess that would lose pitch accent information (e.g. 飴 vs 雨)
Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#125Earlier quoted context omitted.
I'm jealous. It took me far longer and much more frustration to get it to run. Had to get the right Python version and make sure it didn't break anything with the previous Python version. A friend suggested using Docker, so I started down that path until I realized I'd probably have to set the whole thing up there myself. Eventually got it to run and I think I didn't break anything else. I hate Python so much.
why you don't use some kind of environment, Conda or something like that?
I should learn to give up quicker.
Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#126Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#127Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#128Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#129What I love about OpenClaw is that I was able to send it a message on Discord with just this github URL and it started sending me voice messages using it within a few minutes. It also gave me a bunch of different benchmarks and sample audio. I'm impressed with the quality given the size. I don't love the voices, but it's not bad. Running on an intel 9700 CPU, it's about 1.5x realtime using the 80M model. It wasn't an…
I'm jealous. It took me far longer and much more frustration to get it to run. Had to get the right Python version and make sure it didn't break anything with the previous Python version. A friend suggested using Docker, so I started down that path until I realized I'd probably have to set the whole thing up there myself. Eventually got it to run and I think I didn't break anything else. I hate Python so much.
Re: Show HN: Three new Kitten TTS models – smallest less than 25MB
#130I ran install instructions and it took 7.1GB of deps, tf you mean "tiny" ?