Rongjiehuang/FastDiff

PyTorch Implementation of FastDiff (IJCAI'22)

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Emerging

This project helps you quickly create high-quality, natural-sounding synthetic speech from text. You provide written text, and it generates the corresponding audio, making it ideal for tasks requiring realistic voice output. It is used by researchers and developers working on speech synthesis applications.

415 stars. No commits in the last 6 months.

Use this if you need to generate high-fidelity speech from text efficiently for various applications.

Not ideal if you are looking for a no-code, drag-and-drop solution without any development setup.

speech-synthesis text-to-speech voice-generation audio-content-creation

No License Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 8 / 25

Community 19 / 25

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Stars

415

Forks

Language

Python

License

—

Category

fastspeech-tts-models

Last pushed

Jun 20, 2024

Commits (30d)

GitHub

Fastspeech Tts Models · 2 models

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