Suno AI Bark

What is Suno AI Bark

Suno AI Bark is an open-source, transformer-based text-to-audio model developed by Suno, capable of generating highly realistic multilingual speech, music, background noise, and other sound effects. Unlike traditional text-to-speech models, Bark can also produce nonverbal communications like laughing and crying. It's designed for research with pretrained model checkpoints available for commercial use. However, as a generative model, its outputs can sometimes deviate unexpectedly from the provided prompts.

Key Features of Suno AI Bark

- Text-to-Audio Capabilities: Generates realistic multilingual speech, music, background noise, and nonverbal sounds such as laughing, sighing, and crying.

- Generative Model: Fully generative text-to-audio model that can deviate in unexpected ways from prompts, as opposed to conventional text-to-speech models.

- Multilingual Support: Recognizes and generates audio in 13 languages including English, Spanish, French, German, and more.

- Voice Presets: Supports 100+ speaker presets, enabling varied tone, pitch, emotion, and prosody.

- Non-Speech Sounds: Can produce non-speech sounds like laughter, sighs, and music, enhancing the audio experience.

- Speed Optimization: Offers 2x speed-up on GPU and 10x speed-up on CPU, with an option for a smaller model for additional performance gains.

- Long-Form Generation: Capable of generating longer audio pieces, around 13 seconds of spoken text, with specific examples documented.

- Voice Prompt Library: Provides a library for useful voice prompts and supports a growing community sharing prompts in Discord.

- Pretrained Model Checkpoints: Offers pretrained model checkpoints for inference and commercial use.

- Hardware Requirements: Works on both CPU and GPU, with the full model requiring around 12GB VRAM but can also function on GPUs with as low as 4GB VRAM.

- Installation and Integration: Available for installation via GitHub, and integrated into the 🤗 Transformers library from version 4.31.0 onwards.

- High Variance in Outputs: As a GPT-style model, Bark may produce high-variance outputs, creatively deviating from the given text.