bark
Maintainer: suno-ai
226
| Property | Value |
|---|---|
| Model Link | View on Replicate |
| API Spec | View on Replicate |
| Github Link | View on Github |
| Paper Link | No paper link provided |
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Model overview
Bark is a transformer-based text-to-audio model created by Suno. Bark can generate highly realistic, multilingual speech as well as other audio - including music, background noise and simple sound effects. The model can also produce nonverbal communications like laughing, sighing and crying. Bark is similar to other advanced text-to-speech models like Vall-E and AudioLM, but it can generate a wider range of audio beyond just speech.
Model inputs and outputs
Bark takes in a text prompt and generates an audio waveform. The model uses a three-stage process to convert the text into audio - first mapping the text to semantic tokens, then to coarse audio tokens, and finally to fine-grained audio waveform tokens.
Inputs
- Prompt: The text prompt to be converted to audio
Outputs
- Audio waveform: The generated audio waveform corresponding to the input text prompt
Capabilities
Bark can generate highly realistic and expressive speech in over a dozen languages, including English, German, Spanish, French, Hindi, and more. It can also produce non-speech sounds like music, laughter, sighs, and other sound effects. The model is capable of adjusting attributes like tone, emotion, and prosody to match the specified context.
What can I use it for?
Bark's text-to-audio capabilities can be useful for a variety of applications, such as:
- Improving accessibility by generating audio narrations for content
- Enhancing interactive experiences with natural-sounding voice interfaces
- Automating the creation of audio content like podcasts, audiobooks, and voiceovers
- Generating sound effects and background audio for multimedia projects
Things to try
Some interesting things to explore with Bark include:
- Generating multilingual speech by mixing languages in the prompts
- Experimenting with different ways to guide the model's output, such as using speaker prompts or adding musical notation
- Trying to clone specific voices by providing audio samples as history prompts
- Using Bark to generate audio for interactive stories, games, or other immersive experiences
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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