Current Research Topics

  • Music signal analysis and music information retrieval (automatic music transcription, multi-pitch detection, instrument identification, onset detection)
  • Acoustic scene analysis (acoustic event detection, acoustic scene classification)
  • Machine learning for audio processing (spectrogram factorization methods, probabilistic latent variable models, machine learning for sequential data)
  • Computational musicology and music language modelling (tuning/temperament estimation, computational analysis of music archives, computational ethnomusicology, integrating audio/symbolic models)

Research Projects

Date Role Budget Title
04/2018 – 03/2022 CI €819,863 (QMUL) New Frontiers in Music Information Processing (MIP-Frontiers), European Training Network, 765068
08/2016 – 08/2017 PI £23,759 Automatic transcription of polyphonic music recordings, Newton Research Collaboration Programme award, NRCP1617/5/46
09/2015 – 11/2016 CI £77,445 Polyfoni-X-Score (funded by DoReMIR Music Research)
04/2015 – 05/2015 CI £5,940 Automatic segmentation of audio recordings to speech and music
03/2015 – 02/2020 PI £505,588 A Machine Learning Framework for Audio Analysis and Retrieval, RAEng Research Fellowship
09/2014 – 10/2015 CI £76,963 An Integrated Audio-Symbolic Model of Music Similarity, AHRC Grant AH/M002454/1
04/2014 – 07/2014 PI £5,768 A Deep Learning Framework for Automatic Music Transcription
01/2014 – 03/2015 CI £564,689 Digital Music Lab - Analysing Big Music Data (DML), AHRC Grant AH/L01016X/1
11/2012 – 12/2012 RA Roadmap to Music Information ReSearch (MIReS)
07/2007 – 10/2007 RA Multimedia Understanding through Semantics, Computation and Learning (MUSCLE)
12/2005 – 12/2006 RA Pythagoras II
09/2005 – 11/2005 RA Networked Audiovisual Media Technologies (VISNET I)
06/2005 – 07/2005 RA Multimedia Understanding through Semantics, Computation and Learning (MUSCLE)