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The Signal Processing for Media Applications (Sigmedia) Group is a research group in the Department of Electronic and Electrical Engineering at Trinity College Dublin.

Research

We explore problems that involve visual or audio digital media. Evolving from expertise in digital signal processing, we create solutions based on a healthy mix of statistics, probabilistic inference, applied mathematics, and human perception. The team operates in well-recognised domains: computer vision, audio/video processing, and speech and language understanding. There are four main themes:

Human Speech Communication

Modeling multimodal interactions, speech recognition, and synthesis using deep learning and human perception.

Computational Acoustics & Spatial Audio

Advanced audio signal processing for room acoustics, spatial audio rendering, and immersive soundscapes.

Media Compression & Streaming

Optimizing video and audio pipelines for ultra-low latency streaming and efficient cloud processing.

Digital Cinema & Restoration

Award-winning research in motion picture enhancement, archival restoration, and high-end visual effects.

Current Research Projects & Topics

Audio

  • Multi-modal Turn-taking Prediction
  • Low-Resource Speech Recognition
  • Speech Model Distillation
  • Linguistics & Speech AI

Video

  • Efficient Image Denoising
  • Video Compression Pipelines
  • Motion Picture Enhancement
  • Frame Interpolation

A/V

  • Audio/Visual Speech Recognition
  • Wildlife Monitoring

We are well known for our work on cinema post-production. Our motion and visual enhancement technologies (in collaboration with Foundry) were used around the world for film post production in movies like The Matrix, Lord of the Rings, X-Men, Spider-Man, and Harry Potter. This work was recognised by the Academy of Motion Picture Arts and Sciences in 2007 with a Scientific and Engineering Oscar award.

Collaboration

We have collaborated closely with Industry and many EU projects involving archives and broadcasters around Europe. Our current projects are funded by the European Union, Science Foundation Ireland, IRCSET, and Enterprise Ireland.