For voice cloning, pocket tts is walled so I can't tell
It seems like Kokoro is the smaller model, also runs on CPU in real time, and is more open and fine tunable. More scripts and extensions, etc., whereas this is new and doesn't have any fine tuning code yet.
I couldn't tell an audio quality difference.
Just made it an MCP server so claude can tell me when it's done with something :)
How am I supposed to enable this?
It says MIT license but then readme has a separate section on prohibited use that maybe adds restrictions to make it nonfree? Not sure the legal implications here.
If a license says "you may use this, you are prohibited from using this", and I use it, did I break the license?
[1] https://data.norge.no/en/datasets/220ef03e-70e1-3465-a4af-ed...
So, on my M1 mac, did `uvx pocket-tts serve`. Plugged in
> It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the season of Darkness, it was the spring of hope, it was the winter of despair, we had everything before us, we had nothing before us, we were all going direct to Heaven, we were all going direct the other way—in short, the period was so far like the present period, that some of its noisiest authorities insisted on its being received, for good or for evil, in the superlative degree of comparison only
(Beginning of Tale of Two Cities)
but the problem is Javert skips over parts of sentences! Eg, it starts:
> "It was the best of times, it was the worst of times, it was the age of wisdom, it was the epoch of belief, it was the epoch of incredulity, it was the season of Light, it was the spring of hope, it was the winter of despair, we had everything before us, ..."
Notice how it skips over "it was the age of foolishness,", "it was the winter of despair,"
Which... Doesn't exactly inspire faith in a TTS system.
(Marius seems better; posted https://github.com/kyutai-labs/pocket-tts/issues/38)
- "its noisiest superlative insisted on its being received"
Win10 RTX 5070 Ti
I also find Javert in particular seems to put in huge gaps and spaces... side effect of the voice?
I wonder what's going wrong in there
Another recent example: https://github.com/supertone-inc/supertonic
It seems like it is being trained by one person, and it is surprisingly natural for such a small model.
I remember when TTS always meant the most robotic, barely comprehensible voices.
https://www.reddit.com/r/LocalLLaMA/comments/1qcusnt/soprano...
Ok, who knows where I can get those high-quality recordings of Majel Barrett' voice that she made before she died?
Like what if I want to graft on TTS to an existing text chat system and give each person an unique, randomly generated voice? Or want to try to get something that's not quite human, like some sort of alien or monster?
I saw some agentic models at 4B or similar which can punch above its weights or even some basic models. I can definitely see them in the context of home lab without costing too much money.
I think atleast unmute.sh is similar/competed with chatgpt's voice model. It's crazy how good and (effective) open source models are from top to bottom. There's basically just about anything for almost everyone.
I feel like the only true moat might exist in coding models. Some are pretty good but its the only industry where people might pay 10x-20x more for the best (minimax/z.ai subscription fees vs claude code)
It will be interesting to see if we will see another deepseek moment in AI which might beat claude sonnet or similar. I think Deepseek has deepseek 4 so it will be interesting to see how/if it can beat sonnet
(Sorry for going offtopic)
I think they should have added the fact that it's English only in the title at the very least.
https://github.com/supertone-inc/supertonic
https://github.com/ekwek1/soprano
Cool tech demo though!
There's about 1.5B English speakers in the planet.
Not abundantly obviously a satire and so interjecting: humans, including professional "simultaneous" interpreters, can't do this. This is not how languages work.
All too often, new models' codebases are just a dump of code that installs half the universe in dependencies for no reason, etc.
It's just too flat/dead compared to a human reader.
Set up SherpaTTS as the voice model for your phone (I like the en_GB-jenny_dioco-medium voice option, but there are several to choose from). Add a ebook to librera reader and open it. There's an icon with a little person wearing headphones, which lets you send the text continuously to your phone's tts, using just local processing on the phone. I don't have the latest phone but mine is able to process it faster than the audio is read, so the audio doesn't stop and start.
The voice isn't totally human sounding, but it's a lot better than the microsoft sam days, and once you get used to it the roboticness fades into the background and I can just listen to the story. You may get better results with kokoro (I couldn't get it running on my phone) or similar tts engines and a more powerful phone.
One thing I like about this setup is that if you want to swap back and forth between audio and text, you can. The reader scrolls automatically as it makes the audio, and you can pause it, read in silence for a while yourself and later set it going from a new point.
claude plugin marketplace add pchalasani/claude-code-tools
claude plugin install voice@cctools-plugins
More here: https://github.com/pchalasani/claude-code-tools?tab=readme-o...
https://github.com/jamesfebin/pocket-tts-candle
The port supports:
- Native compilation with zero Python runtime dependency
- Streaming inference
- Metal acceleration for macOS
- Voice cloning (with the mimi feature)
Note: This was vibecoded (AI-assisted), but features were manually tested.
Of course, English only
https://gist.github.com/britannio/481aca8cb81a70e8fd5b7dfa2f...
In English, it's perfect and it's so funny in others languages. It sounds exactly like someone who actually doesn't speak the language, but got it anyway.
I don't know why Fantine is just better than the others in others languages. Javer seems to be the worst.
Try Jean in Spanish « ¡Es lo suficientemente pequeño como para caber en tu bolsillo! » sound a lot like they don't understand the language.
Or Azelma in French « C'est suffisament petit pour tenir dans ta poche. » is very good.I mean half of the words are from a Québécois accent, half French one but hey, it's correct French.
Però non capisce l'italiano.
"so and so," he <verb>
and the verb is not just "said", but "chuckled", or "whispered", or "said shakily", the output is modified accordingly, or if there's an indication that it's a woman speaking it may pitch up during the quotation. It also tries to guess emotive content from textual content, such if a passage reads angry it may try to make it sound angry. That's more hit-and-miss, but when it hits, it hits really well. A very common failure case is, imagine someone is trying to psych themselves up and they say internally "come on, Steve, stand up and keep going", it'll read it in a deeper voice like it was being spoken by a WW2 sergeant to a soldier.
I just tried some sample verses, sounds natural.
But there seems to be a bug maybe? Just for fun, I had asked it to play the Real Slim Shady lyrics. It always seems to add 1 extra "please stand-up" in the chorus. Anyone see that?
[1] (2016 https://arxiv.org/abs/1609.03499) WaveNet: A Generative Model for Raw Audio
[2] (2017 https://arxiv.org/abs/1711.10433) Parallel WaveNet: Fast High-Fidelity Speech Synthesis
[3] (2021 https://arxiv.org/abs/2106.07889) UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation
[4] (2022 https://arxiv.org/abs/2203.14941) Neural Vocoder is All You Need for Speech Super-resolution
But don’t do the fake mistake I did and use a hf token that doesn’t have access to read from repos! The error message said that I had to request access to the repo, but I’ve had already done that, so I couldn’t figure out what was wrong. Turns out my HF token only had access to inference.