People

PhD Students (primary and joint supervisees)

• Ilaria Manco (Primary joint supervisor). Topic: Deep learning and multi-modal models for the music industry
  
• Lele Liu Topic: Automatic music transcription with end-to-end deep neural networks
  
• Arjun Pankajakshan Topic: Development of a joint framework for sound event detection and context recognition
  
• Carlos Lordelo (Primary joint supervisor). Topic: Instrument modelling to aid polyphonic transcription
  
• Bhusan Chettri Topic: Voice biometric system security: design and analysis of countermeasures for replay attacks
  
• Changhong Wang Topic: Automatic classification of Chinese bamboo flute playing techniques
  
• Adrien Ycart Topic: Music language models for automatic music transcription
  

PhD Students (second supervisees)

• Saurjya Sarkar Topic: New perspectives in instrument-based audio source separation
  
• Yukun Li Topic: Computational Comparison Between Different Genres of Music in Terms of the Singing Voice
  
• Emir Demirel Topic: Representations and models for singing voice transcription
  
• Vinod Subramanian Topic: Note level audio features for understanding and visualising musical performance
  
• Edward Hall Topic: Probabilistic Modelling of Thematic Development and Structural Coherence in Music
  
• Alessandro Ragano (University College Dublin) Topic: Data-driven quality prediction for digitally restored audio archives
  
• Marco A. Martinez Ramirez Topic: Intelligent audio mixing effects using deep learning
  
• Saumitra Mishra Topic: Interpretable machine learning for machine listening
  
• Rémi de Fleurian Topic: Predicting pleasurable moments in music
  
• Peter Harrison Topic: Statistical modelling of polyphonic music
  
• Maria Panteli (Completed April 2018). PhD Thesis: Computational Analysis of World Music Corpora
  

Post-Doctoral Research Assistants

• Dr Helen Bear (Apr. 2018 - June 2019). Project: Integrating sound and context recognition for acoustic scene analysis
  
• Dr Daniel Wolff (Sep. - Oct. 2015). Project: MIREX 2015 Music/Speech Classification and Detection Task
  

Research Assistants

• Inês Nolasco (Oct. - Nov. 2018). Project: Audio-based identification of beehive states
  
• Siddharth Sigtia (Apr. - Jul. 2014). Project: A Deep Learning Framework for Automatic Music Transcription
  

Visiting Researchers

• Ester Vidaña Vila (Universitat Ramon Llull, Spain, June-July 2020).
  
• Hideo Daikoku (Keio University, Japan, Dec. 2019).
  
• Roberto Piassi Pasos Bodo (University of São Paulo, Brazil, Sep. 2019 - Feb. 2020).
  
• Prof. Ye Wang (National University of Singapore, Singapore, Aug.-Sep. 2019).
  
• Felix Gontier (Ecole Centrale de Nantes, France, Nov. 2018).
  
• Qing Zhou (Xi'an Jiaotong University, China, Oct. 2017 - March 2018).
  
• Andrew McLeod (University of Edinburgh, UK, Aug. 2017).
  
• Mina Mounir (KU Leuven, Belgium, May 2017).
  
• Dr Rodrigo Schramm (Universidade Federal do Rio Grande do Sul, Brazil, Aug. 2016 - Aug. 2017).
  
• Jose J. Valero-Mas (University of Alicante, Spain, May - Jul. 2015 and Oct. - Nov. 2016).
  
• Juan Jose Bosch Vicente (Universitat Pompeu Fabra, Spain, Sep. - Dec. 2015).
  

MSc Students

• Shubhr Singh (2018/19) Topic: Audio tagging with noisy labels
  
• Inês Nolasco (2017/18) Topic: Audio-based recognition of beehive states
  
• Lele Liu (2017/18) Topic: Automatic music accompaniment
  
• Eurico Covas (2017/18) Topic: Optimal neural network feature selection for forecasting of spatial temporal series
  
• Mike A. Taylor (2016/17, co-supervised with Dr Christopher Child) Topic: Bayesian Network Edge and Structure Learning Using Deep Convolutional Neural Networks
  
• Yifan Wu (2016/17) Topic: Combining visualisation approaches with audiovisual music performances