Understanding Speech Deepfakes
Julie Wall, Professor of AI & Advanced Computing, University of West London
and IORMA Advisory Board
in conversation with
Ross Edwards, Technology Director, IORMA
Speech deepfakes, created using AI, enable the generation of synthetic voices that closely mimic human speech patterns, including tone and intonation. This technology has practical applications in fields like media, accessibility, and virtual assistants, offering new possibilities for innovation.
However, it also raises significant concerns, particularly in areas such as misinformation, fraud, and privacy.
The growing sophistication of speech synthesis presents challenges for detection, with tools often struggling to distinguish synthetic from genuine speech. Addressing these issues requires advancing detection methods, developing ethical safeguards, and establishing clear policies to prevent misuse while supporting beneficial applications.
This discussion below provides an overview of the current state of speech deepfakes, their implications, and potential solutions, emphasising the need for collaborative approaches to manage the risks and opportunities associated with this emerging technology.
See and hear the full discussion and in depth explanation concerning Deepfake Speech and other forms of Deepfakes below:
48.23