MB-iSTFT-VITS2 and One-Click-MB-iSTFT-VITS2

MB-iSTFT-VITS2
52
Established
One-Click-MB-iSTFT-VITS2
37
Emerging
Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 20/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 6/25
Stars: 134
Forks: 31
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 13
Forks: 1
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
No Package No Dependents

About MB-iSTFT-VITS2

FENRlR/MB-iSTFT-VITS2

Application of MB-iSTFT-VITS components to vits2_pytorch

This project helps you create custom text-to-speech (TTS) voices. You provide audio recordings and corresponding text transcripts, and it generates a model that can convert new text into natural-sounding speech in that voice. It's designed for speech synthesis researchers and engineers who want to build high-quality, potentially state-of-the-art TTS systems.

speech-synthesis voice-generation text-to-speech AI-audio voice-cloning-research

About One-Click-MB-iSTFT-VITS2

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

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

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.

text-to-speech voice-synthesis audio-processing content-creation machine-learning-training

Related comparisons

MB-iSTFT-VITS2 and VITS-Pytorch MB-iSTFT-VITS2 and MB-iSTFT-VITS-with-AutoVocoder MB-iSTFT-VITS2 and One-Click-VITS-Training

Scores updated daily from GitHub, PyPI, and npm data. How scores work