p0p4k/vits2_pytorch

unofficial vits2-TTS implementation in pytorch

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Emerging

This project helps generate natural-sounding speech from written text, going beyond basic text-to-speech to produce voices that are more expressive and less robotic. You provide written text and it outputs an audio file of that text spoken aloud. It is ideal for content creators, educators, or anyone needing high-quality, synthesized voices for various applications.

547 stars. No commits in the last 6 months.

Use this if you need to transform written content into highly natural and efficient spoken audio, especially for multi-speaker applications or when reducing dependence on specific phonetic conversions is important.

Not ideal if you require real-time, low-latency speech synthesis on embedded devices or if your primary goal is simple, basic text-to-speech without advanced naturalness features.

audio-content-creation voice-synthesis elearning digital-publishing virtual-assistants
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

547

Forks

98

Language

Python

License

MIT

Last pushed

Mar 28, 2024

Commits (30d)

0

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