Suno Bark

Bark is an open-source text-to-speech+ model developed by Suno. It is a transformer-based text-to-audio model that 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 provides access to pretrained model checkpoints, which are ready for inference and available for commercial use. It is designed for research purposes and is not a conventional text-to-speech model but instead a fully generative text-to-audio model, which can deviate in unexpected ways from provided prompts. Users are advised to use the model at their own risk and act responsibly. Bark is now licensed under the MIT License, allowing it to be used commercially. It has seen improvements in speed and functionality, including a 2x speed-up on GPU and 10x speed-up on CPU, as well as options for a smaller version of Bark with slightly lower quality. Additionally, there are resources available for long-form generation, voice consistency enhancements, and a voice prompt library.

⚡Top 5 {website name} Features:

1. Text-to-Speech Model: A transformer-based text-to-audio model that can generate highly realistic, multilingual speech as well as other audio, including music, background noise, and simple sound effects.
2. Nonverbal Communications: Can produce nonverbal communications like laughing, sighing, and crying.
3. Pretrained Model Checkpoints: Provides access to pretrained model checkpoints, ready for inference and available for commercial use.
4. Long-Form Generation: Supports long-form generation and voice consistency enhancements.
5. Voice Prompt Library: Offers a voice prompt library to help users find useful prompts for their use cases.

⚡Top 5 {website name} Use Cases:

1. Speech Synthesis: Generate speech from text prompts in various languages, including English, German, Spanish, French, Hindi, Italian, Japanese, Korean, Polish, Portuguese, Russian, Turkish, and Chinese.
2. Music Generation: Can generate music from text prompts, allowing users to create custom audio tracks.
3. Background Noise: Can generate background noise, such as traffic or rain sounds, for various applications like video production and virtual environments.
4. Nonverbal Communications: Generate nonverbal communications like laughter, sighs, and crying to enhance the realism of generated speech.
5. Voice Cloning: With the help of the serp-ai/bark-with-voice-clone project, users can now use voice cloning on custom audio samples.