Voice Cloning: Voice Cloning in Speech Synthesis | AI Knowledge Hub

Voice cloning is a technology of speech synthesis that creates synthetic voice, which sounds like a specific person based on a limited sample of their speech.

Voice cloning works by using deep learning models to analyze a small audio sample of someone’s voice and then generate new speech that mimics that voice's characteristics, such as tone, accent, and pronunciation.

‘Few-shot’ or ‘zero-shot’ learning refers to the ability of neural TTS models to adapt to a new voice using only a very small amount of audio data – sometimes just seconds – allowing for quick and efficient clone creation.

Neural TTS models use speaker embeddings and voice conversion techniques to capture the unique features of a speaker’s voice, enabling them to generate realistic synthetic speech that closely resembles the original.