seed-vc

Zero-shot voice conversion technology that achieves high-fidelity transformation of quality and tone.

CommonProductProgrammingVoice ConversionZero-shot Learning

seed-vc is a voice conversion model based on the SEED-TTS architecture, capable of zero-shot voice conversion, meaning it can convert voices without requiring specific voice samples from individuals. This technology excels in audio quality and tonal similarity, holding substantial research and application value.

Supports zero-shot voice conversion without requiring specific voice samples.
Outstanding audio quality and tonal transformation with high fidelity.
Demo based on Huggingface space for convenient user testing and experience.
Provides an HTML demo page
which may include comparisons with other voice conversion models.
Supports custom data training
allowing users to train their models based on their requirements.
Offers streaming inference functionality
suitable for real-time voice conversion scenarios.
Open-source code for easy development and optimization by developers.

\seed-vc is designed for speech technology researchers
voice synthesis engineers
and developers interested in voice conversion technology. It supports research and development in voice conversion
as well as applications in speech synthesis and voice recognition.\

Used in film post-production to convert an actor's original voice to that of a specific character.
In speech synthesis applications
converting text to voice output in the style of a specific person.
In voice recognition systems
simulating a specific person's voice for testing and validation.

Visit the GitHub repository page to clone or download the seed-vc project code.
Read the README.md file to understand the project structure and usage instructions.
Follow the documentation to install the necessary dependencies and environment.
Run the HTML demo page to experience the voice conversion effects.
If needed

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Monthly Visits

503747431

Bounce Rate

37.31%

Page per Visit

5.7

Visit Duration

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