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Prof Mark Sandler

Professor of Signal Processing

Research Interests

 Digital Signal Processing, especially for Audio and Music; Digital Music; Semantic Web for Music and Audio; Digital Power Amplifiers; Fine Grain Scalable Audio Coding; Audio Segmentation; Music and Audio Ontologies; Audio Features; Semantic Audio; Semantic Media.

Qualifications

BSc PhD FIET FAES FIEEE FBCS Ceng

Professional Highlights

FIET  Fellow of the IET

FAES  Fellow of the Audio Engineering Society

FBCS  Fellow of the British Computer Society

CEng  CEng

FIEEE  Fellow of IEEE

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