SoundStorm is an audio generation technology developed by Google Research that significantly reduces the time needed for audio synthesis by generating audio tokens in parallel. This technology can produce high-quality audio that maintains high consistency with speech and acoustic conditions, and can be integrated with text-to-semantic models to control the speech content, speaker voice, and speaking turns, facilitating long-text speech synthesis and the generation of natural dialogues. The significance of SoundStorm lies in its ability to tackle the slow inference speed issues faced by traditional autoregressive audio generation models when processing long sequences, thereby enhancing both the efficiency and quality of audio generation.