How LLaMA-Omni2 Achieves Real-Time Speech Synthesis with 583ms Latency

LLaMA-Omni2: Achieving Real-Time Speech Synthesis with Low-Latency Modular Architecture Researchers from the Institute of Computing Technology, Chinese Academy of Sciences, have unveiled LLaMA-Omni2, a groundbreaking speech-language model (SpeechLM) that enables seamless real-time voice interactions. By integrating modular design with autoregressive streaming speech synthesis, this model achieves synchronized text and speech generation with latency reduced to milliseconds. This article explores its technical innovations, performance benchmarks, and practical applications. Technical Architecture: How Modular Design Enables Real-Time Speech Generation LLaMA-Omni2’s architecture combines speech processing and language understanding through four core components: 1. Speech Encoder: Transforming Audio to Acoustic Tokens Built on Whisper-large-v3, this …