Bark is a Transformer-based text-to-audio model developed by Suno, capable of generating realistic multilingual speech and other audio types, such as music, background noise, and simple sound effects. It also supports generating non-verbal sounds like laughter, sighs, and cries. Bark is resource-friendly for the research community, providing pre-trained model checkpoints suitable for inference and commercial use.