School of Electronic Engineering and Computer Science

Complete Automatic Music Transcription

Supervisor: Dr Emmanouil Benetos

Research group(s): Centre for Digital Music

Automatic music transcription is defined as the problem of automatically converting a music recording into some form of music notation, and is considered a fundamental topic in the field of Music Information Retrieval. Applications of automatic music transcription include music content analysis, music production, music education and computational musicology. While research in this topic is still strong, the vast majority of systems only produce as output a representation of pitches over time, thus not producing complete music notation that considers rhythm and instrument information amongst others. This project will focus on investigating and developing methods for complete automatic music transcription. You will be based in the Machine Listening Lab of the Centre for Digital Music, developing new methods and software tools based on digital signal processing and machine learning theory, incorporating elements of audio/acoustics and music theory.