Speech Privacy

Speech privacy research focuses on developing methods to protect sensitive information within audio recordings while preserving their utility for various applications, such as medical diagnosis or smart home monitoring. Current efforts concentrate on anonymization techniques, often employing generative adversarial networks or voice conversion methods, to remove speaker identity while retaining linguistic content or other relevant acoustic features. This field is crucial for balancing the benefits of speech-based technologies with individual privacy rights, impacting the development of ethical and responsible AI systems across diverse sectors.