NaturalSpeech 3 aims to enhance speech synthesis quality, similarity, and rhythm by decomposing the various attributes of speech (e.g., content, prosody, timbre, and acoustic details) and generating each attribute separately. The system designs a neural encoder-decoder with decomposed vector quantization (FVQ) to decouple the speech waveform and proposes a decomposed diffusion model to generate each sub-space attribute based on corresponding prompts.