Ichigo: Local real-time voice AI(github.com)
github.com
Ichigo: Local real-time voice AI
https://github.com/homebrewltd/ichigo
44 comments
Emre here from Homebrew Research. It's great to see Ichigo on HN!
A quick intro: We're a Local AI company building local AI tools and training open-source models.
Ichigo is our training method that enables LLMs to understand human speech and talk back with low latency - thanks to FishSpeech integration. It is open data, open weights, and weight initialized with Llama 3.1, extending its reasoning ability.
Plus, we are the creators and lead maintainers of: https://jan.ai/, Local AI Assistant - an alternative to ChatGPT & https://cortex.so/, Local AI Toolkit (soft launch coming soon)
Everything we build and train is done out in the open - we share our progress on:
https://x.com/homebrewltd https://discord.gg/hTmEwgyrEg
You can check out all our products on our simple website: https://homebrew.ltd/
A quick intro: We're a Local AI company building local AI tools and training open-source models.
Ichigo is our training method that enables LLMs to understand human speech and talk back with low latency - thanks to FishSpeech integration. It is open data, open weights, and weight initialized with Llama 3.1, extending its reasoning ability.
Plus, we are the creators and lead maintainers of: https://jan.ai/, Local AI Assistant - an alternative to ChatGPT & https://cortex.so/, Local AI Toolkit (soft launch coming soon)
Everything we build and train is done out in the open - we share our progress on:
https://x.com/homebrewltd https://discord.gg/hTmEwgyrEg
You can check out all our products on our simple website: https://homebrew.ltd/
any plans to share progress on open channels like matrix.org or even irc?
I second this request. Any publicly indexable channel would be fine.
I think Matrix is not publicly indexable unless the channel is unencrypted and set to public.
I think Matrix is not publicly indexable unless the channel is unencrypted and set to public.
Finally I can use one of the random facts that have entered my brain for decades now even though I can't remember where my keys are.
If I remember correctly, "ichigo" means strawberry in japanese. You are welcome.
If I remember correctly, "ichigo" means strawberry in japanese. You are welcome.
Sorry, you're wrong. It means 1 5. Just kidding, it is strawberry but it can also be read as one and five. However, it is not fifteen.
> it can also be read as one and five. However, it is not fifteen.
Can you help me wrap my brain around this? Does it mean six? I'm struggling to understand how a word can mean two numbers and how this would actually be used in a conversation.
Thanks. I'm curious and trying to search for this to understand just returns anime.
Can you help me wrap my brain around this? Does it mean six? I'm struggling to understand how a word can mean two numbers and how this would actually be used in a conversation.
Thanks. I'm curious and trying to search for this to understand just returns anime.
> I'm struggling to understand how a word can mean two numbers
Ichi is the word for 1. Go is the word for 5.
Ichi is the word for 1. Go is the word for 5.
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There are strawberries all over the readme so I reck you're right.
Is this a continuation of the meme that GPT can't identify the number of "R"s in "strawberry"?
> How many 'r's are in the word 'ichigo'?
GPT 4o: The word "ichigo," which is the Romanized spelling (romaji) of いちご, contains one "r." It appears in the letter "r" in "chi," as the "ch" sound in romaji represents a combination of the "r" sound from "r" and "t" sound from "i."
Thank you chatgpt. I'm glad we've burned down a bunch of forests for this.
You can consistently get the right answer with a prompt of:
> Write python code, and run it, to count the number of 'r' characters in いちご.
though. For numeric stuff, telling the thing to just write python code makes it significantly better at getting right answers.
GPT 4o: The word "ichigo," which is the Romanized spelling (romaji) of いちご, contains one "r." It appears in the letter "r" in "chi," as the "ch" sound in romaji represents a combination of the "r" sound from "r" and "t" sound from "i."
Thank you chatgpt. I'm glad we've burned down a bunch of forests for this.
You can consistently get the right answer with a prompt of:
> Write python code, and run it, to count the number of 'r' characters in いちご.
though. For numeric stuff, telling the thing to just write python code makes it significantly better at getting right answers.
Without any special prompt change, I get
There are no “r”s in the word “ichigo.”
Maybe your instructions are bad.
There are no “r”s in the word “ichigo.”
Maybe your instructions are bad.
I think you might be on to something
From the book tomorrow and tomorrow and tomorrow?
Your keys are in the fridge with the remote control.
I think it's a bit of word play. 苺 (strawberry) and 一語 (one word) are both read "Ichigo".
Tatakae!
Great stuff. Voice AI is great to run locally not just for privacy / access to personal data but also because of the low latency requirement. If there's a delay in conversation caused by a network call, it just feels weird, like an old satellite phone call.
This is a really cool project! What have people built with it? I'd love to learn about what local apps people are building on this.
Thanks! We've received feedback on use cases like live translation, safe and untrackable educational tools for kids, and language-learning apps. There are so many possibilities, and hope to see guys building amazing products on top of Ichigo.
I just tried to use the demo website for live translation. The AI always responded in English, either ignoring my request to only respond in French or Lao, or preface the translation with english ("I can translate that to French. the translation is: ...").
I'm trying to use chatgpt for ai translation, but the other big problem I run into is TTS and SST on non-top 40 languages (e.g. lao). Facebook has a TTS library, but it isn't open for commercial use unfortunately.
I'm trying to use chatgpt for ai translation, but the other big problem I run into is TTS and SST on non-top 40 languages (e.g. lao). Facebook has a TTS library, but it isn't open for commercial use unfortunately.
Oh, I see. We've limited it to English for simplicity for the demo. More languages are planned for future releases.
what is the limiting factor to all llama languages for stt or tts?
Looks impressive. I'm guessing the demo isn't representative of the full possibilities of this? Tried to have a basic conversation in Japanese and it kept on sticking with English. When it did eventually speak Japanese the pronunciation was completely off. I'm really excited about the possibility of local language learning with near realtime conversation practice. Will keep an eye on this.
Kudos to the team, this is truly impressive work! It's exciting to see how AI connects with the local-first movement, which is also really exploding in popularity.
(The idea of local-first, where data processing and functionality are prioritized on users' own devices, aligns perfectly with emerging privacy concerns and the push for decentralization.)
Bringing AI into this space enhances user experience while respecting their autonomy over data. It feels like a promising step toward a future where we can leverage the power of AI without compromising on privacy or control. Really looking forward to seeing how this evolves!
Bringing AI into this space enhances user experience while respecting their autonomy over data. It feels like a promising step toward a future where we can leverage the power of AI without compromising on privacy or control. Really looking forward to seeing how this evolves!
its amazing to see cool projects like this really REALLY based in opensource and open training like this wow
Thanks! It's all open research, source code, data, and weights.
Great initiative!
before adding more comments, I'm trying to set up on my local Mac M3 machine. I'm having a hard time to install dependencies. Anyone here have the same issue?
Thanks! You can't run Ichigo on a Mac M3 just yet. It'll be possible to run it locally on Mac once we integrate it with Jan.ai
Very cool, but a bit less practical than some alternatives because it does not seem to do request transcription.
Actually, it does. You can turn on the transcription feature from the bottom right corner and even type to Ichigo if you want. We didn’t show it in the launch video since we were focusing on the verbal interaction side of things.
Ah, I see now.
To clarify, while you can enable transcription to see what Ichigo says, Ichigo's design skips directly from audio to speech representations without creating a text transcription of the user’s input. This makes interactions faster but does mean that the user's spoken input isn't transcribed to text.
The flow we use is Speech → Encoder → Speech Representations → LLM → Text → TTS. By skipping the text step, we're able to speed things up and focus on the verbal experience.
Hope this clears things up!
To clarify, while you can enable transcription to see what Ichigo says, Ichigo's design skips directly from audio to speech representations without creating a text transcription of the user’s input. This makes interactions faster but does mean that the user's spoken input isn't transcribed to text.
The flow we use is Speech → Encoder → Speech Representations → LLM → Text → TTS. By skipping the text step, we're able to speed things up and focus on the verbal experience.
Hope this clears things up!
I understand that. The problem is that in many scenarios users would want to see transcripts of what they said alongside the model output. Like if I have a chat with a model about choosing a place to move to, I would probably also want to review it later. And when I review it, I will see: me: /audio record/ AI: 200-300m. No easy way to see at glance what the AI answer was about.
You can just run whisper on the conversations as a background job populating the text versions of all the user inputs, so it doesn't interfere with the real-time latency.
It's not going to match what model hears.
Tried demo but all I got was "I'm sorry, I can't quite catch that".
We're running the demo on a single 3090, so it may sometimes be a bit buggy. You can try running it locally here: https://github.com/homebrewltd/ichigo-demo/tree/docker
The documentation isn't very detailed yet, but we're planning to improve it and add support for various hardware.
The documentation isn't very detailed yet, but we're planning to improve it and add support for various hardware.
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There were several links:
- Blog for details: https://homebrew.ltd/blog/llama-learns-to-talk
- Code: https://github.com/homebrewltd/ichigo
- Run locally: https://github.com/homebrewltd/ichigo-demo/tree/docker
- Demo on a single 3090: https://ichigo.homebrew.ltd/