Voice cloning is an AI technique that reproduces a person's vocal characteristics —timbre, intonation, rhythm— from a very brief audio sample, sometimes lasting just a few seconds. Modern models, based on deep neural networks, learn the speaker's sonic "footprint" and can then synthesize any text with that same voice.
Its importance lies in the versatility of applications it enables:
- Dubbing and localization of audiovisual content without resorting to new actors.
- Accessibility, recovering the voice of people who have lost it due to illness.
- Assistants and narration personalized for audiobooks or video games.
The main nuance is ethical and legal. Since a minimal sample is sufficient, it is easy to clone someone's voice without their consent, which opens the door to fraud, identity theft, and misinformation (so-called audio deepfakes). Therefore, it is advisable to require express authorization from the voice owner and, whenever possible, use marking or verification systems that allow for the detection of artificially generated audio.