ORI-Muchim/One-Click-MB-iSTFT-VITS2

MB-iSTFT-VITS2(Data Preprocessing + Whisper + Text Preprocessing + Making config.json + Training, Inference) ONE-CLICK

37
/ 100
Emerging

This tool helps you create custom text-to-speech (TTS) voices by taking raw audio recordings of a speaker and converting them into a ready-to-use voice model. You provide audio files organized by speaker, and the tool outputs a trained voice model that can generate new speech from text in that speaker's voice. This is ideal for voice artists, content creators, or anyone needing to generate synthetic speech from custom voice datasets.

Use this if you need a streamlined way to train a high-quality, custom text-to-speech voice model from audio recordings with minimal manual configuration.

Not ideal if you don't have access to powerful hardware (like a GPU with at least 12GB VRAM and 16GB RAM) or if you're looking for an off-the-shelf TTS solution without custom voice training.

text-to-speech voice-synthesis audio-processing content-creation machine-learning-training
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

13

Forks

1

Language

Python

License

MIT

Last pushed

Mar 08, 2026

Commits (30d)

0

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