# w-okada/voice-changer

リアルタイムボイスチェンジャー Realtime Voice Changer

Repository: https://github.com/w-okada/voice-changer
Canonical: https://ross.abutalabs.com/products/voice-changer
Language: Python
License: NOASSERTION
License Family: other
Last push: 2026-03-21T03:52:05+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 73, release rhythm 35, longevity 100
- inputs: {"age_days": 1472, "days_push": 165, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 20864, forks 2395 (observed 2026-08-28T04:11:30.451334+00:00)

## What it is
VCClient is a real-time AI voice changer application that converts microphone input using models like RVC and Beatrice v2. It ships as prebuilt editions for Windows, Mac (M1), and Linux, with GPU (CUDA/ONNX) variants for lower latency.

## Use cases
- change my voice in real time on discord or streaming
- sound like an anime character while gaming
- run an RVC voice model live with low latency
- convert my microphone input with an AI voice model
- real-time voice conversion for VTubing
- use a Beatrice v2 voice model on my Mac

## When to choose
- you need real-time, low-latency voice conversion from a microphone
- you want prebuilt binaries for Windows, Mac M1, or Linux
- you want to use RVC or Beatrice v2 models interactively

## When to avoid
- you only need offline batch audio file conversion
- you need text-to-speech or speech recognition rather than voice conversion
- you have no GPU and need the lowest latency with RVC models

## Facets
- artifact type: application
- maturity: active
- function: audio-processing, machine-learning, speech-recognition
- domain: machine-learning
- platform: windows, python
- tags: voice-changer, realtime, rvc, beatrice, vcclient, audio-conversion, audio, real-time, macos, linux, gpu

## Member repositories
- w-okada/voice-changer (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:30.451334+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:58:32.279758+00:00, confidence not recorded.
  - readme: https://github.com/w-okada/voice-changer (fetched 2026-08-28T04:11:30.451334+00:00, sha 40514632b1f8)
- Data as of 2026-08-30T08:39:29.467469+00:00.