GaussianSpeech is an innovative method capable of synthesizing high-fidelity animated sequences from speech signals to create realistic, personalized 3D head avatars. The technology combines speech signals with 3D Gaussian drawing techniques to capture human head expressions and detailed movements, including skin wrinkling and finer facial motions. Key advantages of GaussianSpeech include real-time rendering speed, natural visual dynamics, and the ability to exhibit a variety of facial expressions and styles. The underlying technology involves the creation of large-scale, multi-view audio-visual sequence datasets and the development of audio conditional transformation models that can directly extract lip and expression features from audio input.