LLaMA-Omni, developed by UCAS, significantly reduces latency in speech interactions by integrating speech recognition and generation into one architecture, outperforming other models.
The model requires less than 3 days of training on just 4 GPUs, showcasing its efficiency in developing advanced speech interaction capabilities based on LLMs.
Compared to baseline speech-language models, LLaMA-Omni delivers superior performance in content and style, with a response latency of only 226ms.
Future explorations aim to enhance the expressiveness of generated speech responses and improve real-time interaction capabilities, indicating ongoing advancements in speech-LM integration.
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