LibreAI / Audio / bark
// audio · suno-ai/bark

bark

bark es un proyecto de audio de código abierto de suno-ai (suno-ai/bark en GitHub). Tiene 39.268 estrellas en GitHub y 4.661 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 19 de agosto de 2024.

Suno's text-prompted generative audio model: speech, music and sound effects from text prompts

★ 39,3k estrellas⑂ 4,7k bifurcacionesMITactualizado ago 2024
▦ visual: el README de este proyecto no incluye ninguna captura incrustable,
así que aquí va un marcador. La guía de abajo está completa de todos modos.
// datos del proyecto

Datos del proyecto

Repositorio
suno-ai/bark
Estrellas en GitHub
39.268
Bifurcaciones
4.661
Licencia
MIT
Última actualización en GitHub
19 de agosto de 2024
Categoría
Audio
Tipo de ficha
Guía de instalación completa
// cómo funciona

Cómo funciona

  1. Clarify your goal

    Decide what you want from bark and check the README and requirements to confirm it fits your setup and Jupyter Notebook environment.

  2. Get the code

    Clone the repository from GitHub (github.com/suno-ai/bark) or use the documented install channel if you do not need the source.

  3. Install and configure

    Follow the README quickstart to install dependencies and set any required configuration or credentials.

  4. Run your first task

    Work through the README's first example end to end, then adapt it to your own project or data.

// características

Por qué gusta tanto

Text-prompted audio

Generates audio from text prompts — speech, music and sound effects in one model.

Multilingual speech

Supports multiple languages for spoken generation.

Non-speech sounds

Can produce laughter, sighs and other non-verbal sounds from prompt cues.

Python usage

Simple Python API for generating audio in a few lines.

Transformers support

Also usable through Hugging Face Transformers.

Command line

Ships a command-line interface for quick generation.

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// ejecútalo

Ejecútalo tú mismo

  1. Clone the repository

    Start by getting the source and entering the project directory.

    git clone https://github.com/suno-ai/bark.git
    cd bark
  2. Install Bark

    Clone the repo and install it in editable mode, per the README installation section.

    git clone https://github.com/suno-ai/bark.git
    cd bark
    pip install .  # see README for the exact command
  3. Generate audio in Python

    Use the Python API to generate and save your first clip.

    python -c "from bark import generate_audio, SAMPLE_RATE; print(SAMPLE_RATE)"  # see README Usage in Python
// casos de uso

Qué puedes crear

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// preguntas frecuentes

Preguntas frecuentes

Who maintains bark?

It is maintained by suno-ai and contributors on GitHub, where the repository github.com/suno-ai/bark is the canonical home for code, issues and releases.

Is bark free to use?

Yes — it is open source under the MIT license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.

Does it need a paid API key?

No. Bark runs locally; a GPU noticeably speeds up generation.

How does bark compare to alternatives?

Compared with Coqui TTS: Bark generates music and sound effects as well as speech from prompts, while Coqui TTS focuses on speech synthesis models.

How do I get started?

Clone github.com/suno-ai/bark, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.

// sigue explorando

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// alternativas

Alternativas en Audio

Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si bark no es lo que buscas.

// más en audio

Más en Audio

Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a bark: sigue explorando a ambos lados.

Consigue bark

Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.