Sound Recognition in Everyday Environments
Supervisor: Dr Emmanouil Benetos
Research group(s): Centre for Digital Music
The emerging field of sound scene analysis refers to the development of software systems for automatically recognising everyday sounds and the environment/context of a recording. Applications of sound scene analysis include smart homes, urban planning, audio-based security/surveillance, indexing of sound archives, and acoustic ecology. This project will focus on recognizing sounds from everyday environments. You will carry out research and develop computational methods suitable for detecting overlapping sound events from noisy and complex audio, recorded in urban environments. In this project you will be based in the Machine Listening Lab in the Centre for Digital Music, developing new methods and software tools based on signal processing and machine learning theory.