suno

suno-ai/bark is an innovative text-to-audio model that offers a wide range of capabilities. It can generate highly realistic, multilingual speech, as well as other audio elements such as music, background noise, and simple sound effects. The model is transformer-based and follows a GPT-style architecture. Bark can automatically determine the language from the input text and supports various languages out-of-the-box. It can also produce nonverbal communications like laughing, sighing, and crying. One of the notable features of Bark is its ability to generate all types of audio, blurring the line between speech and music. Users can even add music notes around their lyrics to influence the generation. Additionally, Bark supports 100+ speaker presets across supported languages, allowing users to match the tone, pitch, emotion, and prosody of a given preset. The model has been developed for research purposes and is not a conventional text-to-speech model. It is a fully generative text-to-audio model that can deviate in unexpected ways from provided prompts, and Suno does not take responsibility for any output generated. Use of the model comes with certain considerations. For example, the output may sometimes differ from the prompts due to the GPT-style nature of the model, resulting in higher-variance model outputs than traditional text-to-speech approaches. In terms of installation, users should be cautious not to use pip install bark as it installs a different package. Instead, they can use pip install git+https://github.com/suno-ai/bark.git or git clone https://github.com/suno-ai/bark cd bark && pip install.. Bark has been tested and works on both CPU and GPU, but inference time can vary depending on the hardware. For older GPUs or CPU, users might want to consider using smaller models or adjusting certain environment flags. Overall, suno-ai/bark is a powerful tool that opens up new possibilities in the field of text-to-audio generation, but users should be aware of its limitations and use it responsibly.