Open Source Real-time Multimodal AI Chatbot Moshi, One-Click Package!

Open Source Real-time Multimodal AI Chatbot Moshi: Voice Conversation Latency as Low as 200 Milliseconds!

The AI community has been bustling with excitement recently, following Meta’s release of Llama 3, a plethora of open-source large models have emerged. And now, a non-profit AI research laboratory in France, Kyutai, has made headlines with a new development!

They have open-sourced a real-time native multimodal foundation model called Moshi, and this thing is impressive. It can listen, speak, and respond, making conversations as natural as talking to a real person. What’s even more amazing is that it can understand and express emotions, and it can even speak with different accents!

Does it sound incredible? Don’t rush, let me take you through a proper introduction to Moshi.

Moshi: A Text-to-Speech Model for Real-time Voice Conversations

Kyutai didn’t just open-source Moshi; they also released a detailed technical report that introduces some of the implementation details of Moshi. In short, Moshi uses a multi-stream architecture that can process both your and the system’s voice inputs, then generate the corresponding voice outputs.

What’s more important is that Moshi has an extremely low latency! Theoretically only 160 milliseconds, and practically just 200 milliseconds, which is much faster than the several seconds’ delay common in our natural conversations. This means that you can engage in almost seamless voice communication with Moshi, ensuring a top-notch experience.

Moshi’s Powerful Features

In addition to low latency, Moshi also boasts several other powerful features:

  • Multimodal Processing: Moshi can handle both voice and text information, meaning you can communicate with it using either mode, and it will understand.
  • Complex Conversational Dynamics: Moshi supports complex conversational dynamics such as speaking simultaneously and interrupting, which is closer to real-life conversation scenarios.
  • Real-time Streaming Inference: Moshi supports real-time streaming inference, meaning it can generate speech while performing speech recognition and text-to-speech conversion, making it highly efficient.

Exclusive Benefit for Mac Users: One-Click Installation Package

To make it convenient for everyone to experience Moshi’s powerful features, Kyutai has also thoughtfully provided a standalone launcher package. Mac users can simply click to run it, without the need for configuring a complex Python environment.

Note: Currently, it only supports devices with Mac M1/2/3 series chips!

Download and Installation Steps

  1. Go to the download page: https://www.patreon.com/posts/open-source-real-112543775.

  2. After downloading, you will get a DMG image file. Double-click to open it, and then drag the app file into the Applications folder to complete the installation.

  3. For the first launch, do not open it directly from the launchpad, but right-click to open from the Applications folder.

  1. The software will automatically open the operation interface in the default browser, and then you can start using Moshi in your browser!

Future Prospects

The open-sourcing of Moshi undoubtedly injects new vitality into the field of real-time multimodal AI chatbots. We can expect to see more applications and innovations based on Moshi in the near future.

If you are interested in AI technology, or want to experience the fun of real-time voice conversations with AI, give Moshi a try! It will surely bring you a different kind of surprise!