Speaker Anonymization: Protecting Voice Identity in the AI Era
Speaker anonymization refers to the process of modifying the characteristics of a speaker’s voice so that the speaker’s identity cannot be easily determined while preserving the speech’s intelligibility. With the increasing usage of speech data in virtual assistants, surveillance systems, and other applications, ensuring privacy in speech data has become critical. In this post, we’ll dive into the technical details of speaker anonymization techniques, including implementation approaches using machine learning, deep learning models, and popular libraries. ...