Moshi - A real-time audio multimodal model developed by the French AI lab Kyutai.

What is Moshi?

Moshi is an end-to-end real-time audio multimodal AI model developed by the French AI research lab Kyutai. It possesses the abilities to hear, speak, and see, and can simulate 70 different emotions and styles of communication. As an open-source model that can replace GPT-4o, Moshi runs on ordinary laptops, features low latency, supports local device use, and protects user privacy. Moshi's development and training process is simple and efficient, completed by an 8-person team within 6 months. The model's code, weights, and technical papers will soon be open-sourced, freely available to users worldwide for further research and development.

Moshi's features

• Multimodal interactionAs a multimodal AI model, Moshi can not only process and generate text information, but also understand and generate speech, enabling Moshi to communicate with users in a more natural and intuitive way, just like talking to a real person.
• Expression of emotion and styleMoshi can simulate 70 different emotions and styles in conversation, making AI dialogue more vivid and realistic. Whether expressing joy, sadness, or seriousness, Moshi can convey corresponding emotions through changes in voice, enhancing the communication experience.
• Real-time response with low latencyMoshi's response is characterized by low latency, enabling it to quickly process user input and provide responses with virtually zero delay. This is highly helpful for applications requiring instant feedback, such as customer service or real-time translation.
• Speech understanding and generationMoshi can handle both listening and speaking tasks simultaneously, generating responses while listening to the user speak, improving the efficiency and fluency of the interaction, and providing a natural and seamless conversational experience.
• Text and audio mixed pre-trainingMoshi pre-trains its model by combining text and audio data, enabling the model to better capture semantic and contextual information when understanding and generating language, thus improving the model's accuracy and reliability.
• Local device operationAs a fully end-to-end audio model, Moshi can run on the user's local device; a regular laptop or consumer-grade GPU is sufficient to run it.

How to use Moshi

1. Access the Moshi platformVisit Moshi's official websitehttps://moshi.chat/?queue_id=talktomoshi.
2. Provide email addressOnce you enter the website, simply provide an email address and click "Join queue" to start using it for free.
3. Check device compatibilityMake sure your device (whether it's a phone or a computer) has a microphone and speakers, as Moshi's interaction relies primarily on voice input and output.
4. Start voice interactionAfter providing your email address, you can start interacting with Moshi via voice. The system will prompt you to use your microphone for voice input.
5. Ask a question or give an instructionAsk questions or give instructions into the microphone, and Moshi will understand your questions or instructions through voice recognition technology.
6. Listen to the answerMoshi generates answers based on your questions, converts text into speech using speech synthesis technology, and then plays it out through the device's speaker.

Currently, Moshi primarily supports English and French, but not Mandarin Chinese. Furthermore, the Kyutai team stated that they will soon open-source Moshi, releasing the code, model weights, and related papers.

Moshi's application scenarios

• Virtual AssistantMoshi can serve as a virtual assistant for individuals or businesses, providing voice interaction services to help users complete daily tasks, such as setting reminders and searching for information.
• Customer ServiceIn the field of customer service, Moshi can function as an intelligent customer service representative, communicating with customers via voice, answering inquiries, and providing immediate assistance.
• Language learningMoshi can simulate different accents and emotions, which helps language learners practice listening and speaking, and improve their language skills.
• Content creationMoshi can generate voices of different styles and emotions, providing voice-over services for video, podcast, or animation production.
• Assisting people with disabilitiesFor people with visual or hearing impairments, Moshi can provide voice-to-text or text-to-voice services to help them access information more effectively.
• Research and developmentResearchers can use Moshi for research in fields such as speech recognition, natural language processing, and machine learning.
• Entertainment and GamesIn games and entertainment applications, Moshi can interact with users as a character, providing a richer user experience.