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AI Voice Changer

github.com

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Spec score 7.9 #12 of 29 in Game Voice Changers

What it is

AI Voice Changer is an open-source project for real-time voice conversion in streaming, gaming, content creation, and online communications. It supports Windows, macOS, and Linux, with a local web dashboard at localhost:8000 for switching models, adjusting audio settings, monitoring gain, and managing presets. Its conversion pipeline uses SoftVC, ContentVec, or HuBERT feature extraction with retrieval-based RVC models and pitch-guided conversion. Audio tools include noise suppression, voice activity detection, pitch correction, formant shifting, equalization, compression, and reverb. Virtual audio routing can connect output to OBS Studio, Discord, Zoom, Twitch, and other calling or streaming platforms. A FastAPI backend provides REST controls and real-time streaming over WebSockets. Custom voice training covers dataset preparation, pitch extraction, model training, and feature indexing; the training guide calls for at least 10 minutes of clean continuous speech. The README gives a 35–48 ms end-to-end delay target for specified hardware and supports CPU fallback, which can reach about 200 ms. It recommends a compatible NVIDIA GPU. The project describes imperceptible audio watermarks and instructs users to obtain documented consent before voice cloning, disclose AI voice synthesis, and avoid deceptive impersonation, fraud, and harassment.

Spec sheet

Purpose
The project describes itself as a low-latency, real-time AI voice conversion application for streaming, gaming, content creation, and online communications.Read 5 Oct 2026 · github.com
Deployment
The README describes a web dashboard at localhost and lists Docker and NVIDIA Container Toolkit for GPU-accelerated container deployment.Read 5 Oct 2026 · github.com
API
The README lists a FastAPI backend with REST control and real-time streaming over WebSockets.Read 5 Oct 2026 · github.com
Integrations
The project describes routing converted audio to OBS Studio, Discord, Zoom, Twitch, and other streaming or calling platforms.Read 5 Oct 2026 · github.com
License
The project says it is released under the MIT License.Read 5 Oct 2026 · github.com
Audio effects
Listed audio processing includes RNNoise or WebRTC VAD noise filtering, pitch correction, formant shifting, equalization, compression, and reverb.Read 4 Oct 2026 · github.com
Audio processing
Its listed audio tools include noise suppression, voice activity detection, pitch correction, formant shifting, equalization, compression, and reverb.Read 5 Oct 2026 · github.com
Audio routing
It lists VB-Audio Cable for Windows, BlackHole for macOS, and PipeWire or PulseAudio for Linux virtual audio routing.Read 5 Oct 2026 · github.com
Conversion models
It says it uses SoftVC, ContentVec, or HuBERT feature extraction with retrieval-based RVC models and pitch-guided conversion.Read 4 Oct 2026 · github.com
Ethical use
The README instructs users to disclose AI voice synthesis and prohibits deceptive impersonation, fraud, and harassment.Read 4 Oct 2026 · github.com
Hardware requirements
The listed minimum GPU options are an NVIDIA GTX 1060 with 6 GB or Apple M1, with 4 GB VRAM listed as the minimum VRAM.Read 5 Oct 2026 · github.com
Latency target
The README gives an end-to-end real-time delay target of 35–48 ms and notes that the figures are targets tied to specified hardware.Read 4 Oct 2026 · github.com
Local dashboard
The README says a web dashboard at localhost:8000 supports model switching, audio parameter adjustments, gain monitoring, and preset management.Read 4 Oct 2026 · github.com
OBS setup
The OBS integration guide explains routing the app’s output through a virtual audio device for streaming or recording.Read 5 Oct 2026 · github.com
Performance limit
The README gives a 35–48 ms end-to-end latency target and says CPU fallback can have about 200 ms latency.Read 5 Oct 2026 · github.com
Safety
The README calls for explicit documented authorization before voice cloning and says generated audio streams embed imperceptible acoustic watermarks.Read 5 Oct 2026 · github.com
Supported systems
The README provides installation guidance for Windows, macOS, and Linux, with platform-specific virtual audio routing options.Read 4 Oct 2026 · github.com
Training data limit
The voice training guide specifies at least 10 minutes of clean continuous speech and says datasets longer than two hours without quality control increase training time without significant fidelity gains.Read 4 Oct 2026 · github.com
Voice conversion
It uses SoftVC, ContentVec, or HuBERT feature extraction with retrieval-based RVC models and pitch-guided conversion.Read 5 Oct 2026 · github.com
Voice training
The project includes tooling to preprocess datasets, extract pitch features, train voice models, and create index files, and says training can use 10–30 minutes of clean speech.Read 5 Oct 2026 · github.com

Strong points and limits

Strong points

  • Open-source under the MIT License.
  • Supports Windows, macOS, and Linux.
  • Includes custom voice training tools.
  • Offers REST controls and WebSocket streaming.
  • Provides a local dashboard for audio settings.

Limits

  • A compatible NVIDIA GPU is recommended.
  • CPU fallback can reach about 200 ms latency.
  • Training requires at least 10 minutes of clean speech.
  • Latency targets depend on specified hardware.

Who it suits

It suits users seeking configurable voice conversion for streaming, gaming, or online communications, especially those comfortable with local setup and virtual audio routing. Users creating custom voices should be prepared to follow the project’s consent and disclosure instructions.

Verdict

AI Voice Changer brings voice conversion, audio controls, routing, and custom training into a local project with API and dashboard options. Its stated latency target depends on hardware, while CPU use can be considerably slower.

Where Specifiction places it

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