Voice cloning is a type of audio deepfake technology that uses machine learning to create a digital replica of a specific person's voice, synthesizing spoken audio that mimics their vocal characteristics like pitch and tone. While it has positive uses, such as generating audiobooks or helping people who have lost their voice, it is also used for malicious purposes, including creating convincing scams where fraudsters impersonate individuals.
Standard zero-shot voice-cloning / TTS evaluation using LibriTTS test-clean speaker prompts. WER on resynthesized utterances (measured with a frozen ASR like HuBERT-Large or Whisper) is the primary intelligibility metric (lower=better); speaker similarity (SECS) is a secondary metric.
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