How to clone your voice with AI

AI voice cloning creates a digital model of your voice that can reconstruct any speech to sound like you. Unlike text-to-speech (which generates robotic audio from text), voice cloning using RVC (Retrieval-based Voice Conversion) works speech-to-speech — you speak naturally, and the AI transforms the output to match the target voice in real time.

The technology works by analyzing recordings of your voice, extracting characteristics like timbre, resonance, and vocal texture, and building a neural network model that can reproduce those characteristics. Once trained, the model processes live audio in real time — you speak into your microphone, and what comes out sounds like the cloned voice.

Recording equipment: Any decent microphone works. A USB condenser mic ($30-50) in a quiet room produces excellent results. Avoid laptop built-in mics — they introduce too much noise. You need 3-10 minutes of clear speech recordings.

Training software: Applio (free, open-source) is the standard for training RVC models. It runs locally on your PC and requires a GPU with at least 4GB VRAM (NVIDIA GTX 1650 or better). Training takes 15-45 minutes depending on dataset size and GPU.

Voice changer: Echo (voicechanger.live/download) loads your trained model and runs it in real time. It accepts .onnx model files and processes everything locally — your voice data never leaves your computer.

Record 3-10 minutes of yourself speaking naturally. Read aloud from a book, article, or news script — anything that covers a range of words and sounds. Aim for a consistent volume and distance from the mic (6-12 inches). Avoid whispering, shouting, or dramatic vocal variations unless you want the model to reproduce those extremes.

Save the recording as a single WAV or MP3 file. If you have multiple files, concatenate them. The training software will split them into segments automatically. Higher quality recordings produce dramatically better models — 30 seconds of clean audio beats 5 minutes of noisy audio every time.

Open Applio and create a new experiment. Upload your audio file, set the training epochs to 200-400 (higher = more accurate but slower), and select the f0 pitch extraction method (RMVPE is the current best). Click train and wait — a typical 5-minute dataset trains in about 20 minutes on a GTX 3060.

Once training completes, you will have a .pth model file. This is your voice model. You can convert it to .onnx format using the Echo model converter tool (voicechanger.live/tools/model-converter) for real-time use.

Import the .onnx file into Echo by dragging it into the app window. The model appears in your voice library alongside the built-in presets. Select it, enable voice conversion, and start talking — your microphone output is now your cloned voice.

Echo routes the processed audio through a virtual audio cable, so any application (Discord, Zoom, OBS, games) can use your cloned voice as if it were a regular microphone. The processing happens entirely on your local GPU with latency under 50ms.

Dataset quality matters more than quantity. 3 minutes of studio-quality audio produces a better model than 10 minutes of noisy recordings. Record in a quiet room, use a pop filter, and maintain consistent mic distance.

Training epochs: Start with 200 epochs. Listen to the output — if it sounds good, stop. If the voice sounds muffled or robotic, increase to 400 epochs. Going above 600 epochs rarely improves quality and can cause overfitting (the model memorizes your exact recordings instead of learning general voice characteristics).

Pitch matching: Voice cloning works best when the source and target voices are in similar pitch ranges. Male-to-male and female-to-female clones produce the most natural results. Cross-gender cloning is possible but may require pitch shifting in the DSP chain.

Echo processes everything locally on your device. Your voice recordings and trained models never leave your computer — there is no cloud upload, no server processing, and no data collection. This is fundamentally different from cloud-based cloning services that store your voice data on their servers.

Only clone voices you have permission to use. Cloning someone else's voice without their consent raises serious ethical and legal concerns. AI voice cloning technology is powerful — use it responsibly for creative projects, content creation, and personal experimentation.