Our research areas
Audio coding for low delay applications using low delay filter banks or predictive coding
Separation of vocals and accompanying instruments using Deep Learning
Low-delay audio source separation, for example in the time domain using probabilistic optimization
Music Information Retrieval (MIR) for signal analysis and modeling, e. g., for the recognition of musical instruments and the modeling and synthesis of their sounds
Audio coding:
development of polyphase filter banks | ultra low delay audio coding | multirate signal processing | development of audio encoders, musical instrument coder
Image and 3D video processing:
development of algorithms for automated reconstruction of 3D models from image data (e. g. structure from motion, feature detection, texture mapping) | Development of methods for texture analysis and coding | Paramaterial object coding | Computer vision and compressed sensing
Our research approaches
Machine learning for audio and music processing
Probabilistic optimization algorithms for optimization and adaptation of separation algorithms, filter banks and deep neural networks
Research and study projectst3://page?uid=15932
Project Robotic - Bipedal robotst3://page?uid=15939
