GaussianTalker is a novel method for audio-driven talking head synthesis using 3D Gaussian Splatting. The method combines a Speaker-specific Motion Translator and a Dynamic Gaussian Renderer to generate high-quality, realistic talking head videos with precise lip movements. The Speaker-specific Motion Translator decouples audio features from speaker identity and generates personalized facial motion parameters. The Dynamic Gaussian Renderer uses FLAME to drive 3D Gaussians, enabling real-time rendering of dynamic talking heads. GaussianTalker outperforms existing methods in lip synchronization and visual quality, achieving rendering speeds of 130 FPS on an NVIDIA RTX4090 GPU. The method addresses challenges such as unnatural lip movements and visual artifacts by introducing Speaker-specific BlendShapes and adaptive density control for Gaussians. Experiments show that GaussianTalker achieves superior performance in both quantitative and qualitative evaluations, demonstrating its effectiveness in generating realistic talking head videos across different languages and audio inputs. The method is also adaptable to various hardware platforms, making it suitable for real-time applications.GaussianTalker is a novel method for audio-driven talking head synthesis using 3D Gaussian Splatting. The method combines a Speaker-specific Motion Translator and a Dynamic Gaussian Renderer to generate high-quality, realistic talking head videos with precise lip movements. The Speaker-specific Motion Translator decouples audio features from speaker identity and generates personalized facial motion parameters. The Dynamic Gaussian Renderer uses FLAME to drive 3D Gaussians, enabling real-time rendering of dynamic talking heads. GaussianTalker outperforms existing methods in lip synchronization and visual quality, achieving rendering speeds of 130 FPS on an NVIDIA RTX4090 GPU. The method addresses challenges such as unnatural lip movements and visual artifacts by introducing Speaker-specific BlendShapes and adaptive density control for Gaussians. Experiments show that GaussianTalker achieves superior performance in both quantitative and qualitative evaluations, demonstrating its effectiveness in generating realistic talking head videos across different languages and audio inputs. The method is also adaptable to various hardware platforms, making it suitable for real-time applications.