Moshi AI Introduction

Moshi AI utilizes advanced speech processing and natural language understanding capabilities to enable real-time interactions. It is built on the Helium model, a 7-billion-parameter language model, and employs joint pre-training on a mix of text and audio data. This allows Moshi to maintain a smooth flow of textual and auditory information. The model uses text-to-speech technology and was fine-tuned on 100,000 'oral-style' synthetic conversations. Moshi's voice was trained on synthetic data generated by a separate text-to-speech model, achieving an end-to-end latency of just 200 milliseconds. It can perform sentiment analysis to discern emotional tones and adjust its responses accordingly, providing contextually appropriate and empathetic reactions.