suno-ai/bark

Bark is an open-source text-to-audio model built by Suno, the company behind AI music generation. Unlike a traditional text-to-speech system that simply reads words aloud in a robotic voice, Bark is a fully generative model, meaning it creates audio from scratch by interpreting your text as a creative prompt. It can produce realistic human speech in multiple languages, generate simple music snippets, add background noise, and even include nonverbal sounds like laughing, sighing, or crying, all guided by what you write. Under the hood, Bark uses a transformer architecture, the same family of neural network designs behind large language models like GPT. It processes your text input and generates audio token by token, similar to how a language model generates words. You can guide the style of the voice by selecting from over 100 built-in voice presets, which steer the tone, pitch, and accent of the output. The model automatically detects the language in your text, so you can mix languages and it will attempt to apply the correct accent for each. You would use Bark when you need expressive, human-sounding audio from written content, for example, creating voiceovers for videos, generating character voices for games, adding narration to presentations, or experimenting with AI audio for creative projects. It works especially well for short clips around 13 seconds, with a notebook-based workflow available for longer content. The tech stack is Python-based, using PyTorch as the deep learning framework, and the model runs on either CPU or GPU. It is available under the MIT license, making it free for commercial use.