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Research project

TAS Hub Agile: Co-Design of Context-Aware Trustworthy Audio Systems

Project overview

In today’s world, we are surrounded by a variety of Autonomous AUdio Systems (AAUS). Audio capture may contain personal identity attributes of voice and speech that are protected in the scope of individual rights. This data can also be misused by attackers, highlighting key issues of data protection, privacy, and security. AAUS encompasses the wide breadth of devices and systems that are enabled for audio and speech capture, such as home devices, smart watches, virtual assistants, and audio-enabled vehicles.

Staff

Lead researcher

Dr Jennifer Williams

Lecturer

Research interests

  • Responsible and trustworthy audio processing applied to a variety of domains and use-cases;
  • Audio AI safety in terms of usability, privacy, and security;
  • Ethical issues of trust for audio AI (deepfake detection, voice-related rights, and speaker and content privacy). 
Connect with Jennifer

Email: [email protected]

Collaborating research institutes, centres and groups

Agents, Interaction and Complexity

We research the science and engineering of complex areas. We focus on areas including human-machine teams and human-in-the-loop interaction.

Research outputs