Kyutai Open Sources Moshi: A Real-Time Native Multimodal Foundation AI Model that can Listen and Speak
What is Moshi's real-time native multimodal foundation model?
Moshi is a revolutionary real-time native multimodal foundation model introduced by Kyutai. It can understand and express emotions, speak with different accents, listen and generate audio/speech while maintaining a seamless flow of textual thoughts. Moshi can handle two audio streams simultaneously for real-time interaction, underpinned by joint pre-training on text and audio data.
What functionalities does Moshi model have?
The Moshi model is a real-time native multimodal foundation model that can understand and express emotions1. It can listen and generate audio and speech while maintaining a seamless flow of textual thoughts. Moshi can handle two audio streams simultaneously, allowing it to listen and talk at the same time. It is designed for adaptability and can be fine-tuned with less than 30 minutes of audio.
How does Moshi handle multiple audio streams?
Moshi can handle multiple audio streams simultaneously, allowing it to listen and talk at the same time4. This capability is due to its joint pre-training on a mix of text and audio, leveraging synthetic text data from the Helium language model4. This feature enables real-time interaction and enhances the model's versatility in various applications.