Centre for Vision, Speech and Signal Processing (CVSSP)

Creating machines that can see and hear to understand the world around them.

Our Centre is an internationally recognised leader in audio-visual machine perception research. With a diverse community of more than 150 researchers, we are one of the largest audio and vision research groups in the UK.

Research in the Centre has led to award-winning spin-out companies in the biometric, communication, medical and creative industries.

"CVSSP is developing some of the most exciting and ground-breaking technologies: From facial recognition for security and medical imaging understanding for cancer detection, through to 3D audio and video for film production and robots that can work safely alongside people."

Prof Adrian Hilton, Director, Centre for Vision, Speech and Signal Processing.

Can machines think?

Over the past thirty years, we have become an international centre of excellence for training and research in audio and visual machine perception in collaboration with industry. Our research has pioneered new technologies for the benefit of society and the economy, with applications spanning healthcare, security, entertainment, robotics, autonomous vehicles, communication and audio-visual data analysis.

Today we again ask the question: Can machines think?

CVSSP research highlights

Learn more about our research from the CVSSP digital book and our YouTube channel.

CVSSP research digital book

Learn more about our research from the CVSSP digital book.

CVSSP YouTube channel

Learn more about our research from the CVSSP YouTube channel.

Celebrating thirty years of research

This year we are celebrating our 30th anniversary and we have been showcasing all the technologies we have pioneered during this time.

Find out more

What we have to offer

We advance research in artificial intelligence (AI) and machine perception structured in seven labs focused on cross-disciplinary application areas and are always looking for businesses to collaborate with us.

Students using equipment in the sound sphere

Collaboration

We have an internationally outstanding track-record of pioneering research leading to new technologies.

Student using facial recognition equipment

Research

Our core expertise includes signal, image and video processing, pattern recognition, computer vision and graphics, machine learning, artificial intelligence, medical image analysis and human computer interaction.

Making major contributions

Our Director, Professor Adrian Hilton, was awarded the Institute of Engineering and Technology Achievement Medal for major and distinguished contribution to computer vision engineering.