Gather 10-30 minutes of clean vocal audio from your target voice. Use our Vocal Remover to extract vocals from songs.
Feed the audio into RVC training software (Applio, Mangio-RVC). Training takes 1-4 hours on a modern GPU.
Drag your trained .pth model file into Echo. The app detects model parameters automatically.
Your voice is transformed in real-time through the trained model. Use in Discord, games, OBS, or any voice chat.
Create unique character voices for D&D campaigns, VTubing personas, or roleplay. Train a model once, use it forever.
Clone your own voice and use the model to maintain consistent audio quality across videos, even when your real voice is tired or hoarse.
Sound like your favorite game character in Discord. Clone iconic voices and use them in competitive gaming voice chat.
AI voice covers — train a model on a singer's voice and generate cover versions of songs. Popular on YouTube and TikTok.
Create a digital backup of your own voice or a loved one's voice. Preserve the way someone sounds for future reference.
Clone a speaker's voice across languages. Maintain the same voice identity while speaking different languages for dubbing.
The quality of a voice clone depends almost entirely on the training data. Clean, isolated vocal audio with no background music, reverb, or noise produces dramatically better results than noisy recordings. Use our Vocal Remover to extract clean vocals from songs, or our Noise Remover to clean up raw recordings.
Variety in the training data matters too. Include different pitches, emotions, speaking speeds, and vocal styles. A model trained only on calm narration will struggle with shouting or whispering. The best models capture the full expressive range of the target voice.
For a detailed walkthrough of dataset preparation, training parameters, and evaluation, read our complete RVC Training Guide.
AI voice cloning uses deep learning to analyze audio samples of a target voice and learn its unique characteristics — timbre, pitch patterns, formant structure, and pronunciation habits. The trained model can then convert any input speech to sound like the target voice in real-time. Echo uses RVC (Retrieval-based Voice Conversion) technology, which produces natural-sounding results with as little as 10 minutes of training audio.
10-30 minutes of clean, isolated vocal audio is ideal. The audio should be a single speaker with no background music or noise. More variety in pitch, emotion, and speaking style produces better results. Less than 5 minutes usually produces poor quality, while more than 30 minutes rarely improves results and mainly increases training time.