innnky/so-vits-svc

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

3779 stars · 27 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A singing voice conversion (SVC) framework that uses a SoftVC content encoder with VITS to transform one singer's voice into another timbre. It is a Python training and inference framework requiring users to train their own models, and it has been officially archived in favor of the community-maintained so-vits-svc fork.

Use cases

• convert a song into another singer's voice
• train a custom singing voice conversion model
• change the timbre of vocal audio offline
• make AI cover songs with a target voice
• run singing voice conversion on a GPU locally

When to choose

• you want to train a custom singing voice conversion model from your own authorized dataset
• you need fully offline voice conversion with no data sent anywhere
• you want faster inference than DiffSVC on moderate-quality datasets

When to avoid

• you need active maintenance or bug fixes - the repo is archived
• you want a ready-to-use pretrained voice model out of the box
• you need production-grade speech synthesis rather than a research framework
• you cannot resolve dataset licensing for training data

Facets

library · maturity abandoned

speech-recognition audio-processing machine-learning deep-learning llm-training machine-learning artificial-intelligence speech-processing python cross-platform singing-voice-conversion voice-conversion vits so-vits-svc hifigan audio-synthesis archived audio gpu

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