People

Current members

PhD Students (primary and joint supervisees)

• Antonella Torrisi Topic: Computational analysis of chick vocalisations: from categorisation to live feedback
  
• Aditya Bhattacharjee Topic: Self-supervised learning in audio fingerprinting
  
• Yinghao Ma Topic: Self-supervision in machine listening
  
• Jinhua Liang Topic: Everyday sound recognition with limited annotations
  
• Jiawen Huang Topic: Lyrics alignment and transcription For polyphonic music
  
• Inês Nolasco (co-supervised with Huy Phan and Dan Stowell). Topic: Automatic acoustic identification of individual animals in the wild
  
• Shubhr Singh (co-supervised with Huy Phan and Dan Stowell). Topic: Novel mathematical methods for audio based deep learning
  
• Ilaria Manco (co-supervised with George Fazekas). Topic: Multimodal deep learning for music information retrieval
  
• Lele Liu Topic: Automatic music score transcription with deep neural networks
  
• Arjun Pankajakshan Topic: Sound recognition via audio sequence modelling
  
• Carlos Lordelo (co-supervised with Simon Dixon). Topic: Deep learning methods for musical instrument separation and recognition
  

PhD Students (second supervisees)

• Louise Thorpe Topic: Using Signal-informed Source Separation (SISS) principles to improve instrument separation from legacy recordings
  
• Yisu Zong Topic: Machine learning for physical models of sound synthesis
  
• Andrew Edwards Topic: Computational models for jazz piano: transcription, analysis, and generative modeling
  
• Xiaowan Yi Topic: Composition-aware music recommendation system for music production
  
• Dimitrios Stoidis Topic: Protecting voice biometrics with disentangled representations of speech
  
• Saurjya Sarkar Topic: Time-domain music source separation: developing novel tools for music production
  
• Yukun Li Topic: Computational comparison between different genres of music in terms of the singing voice
  
• Vinod Subramanian Topic: Understanding audio deep learning classifiers through adversarial attacks and interpretability
  
• Edward Hall Topic: Probabilistic Modelling of Thematic Development and Structural Coherence in Music
  

MSc by Research Students

• Shahar Elisha Topic: Style classification of podcasts using audio
  

Research Assistants

• Sungkyun Chang (Jul. 2022 - present). Project: Deep learning technologies for multi-instrument automatic music transcription
  

Visiting Researchers

• Charilaos Papaioannou (National Technical University of Athens, Greece, March - May 2023).
  
• Emilian Postolache (Sapienza University of Rome, Italy, May - August 2023).
  

Alumni and past members

PhD Students (primary and joint supervisees)

• Changhong Wang (Completed November 2021, co-supervised with Elaine Chew). PhD Thesis: Scattering transform for playing technique recognition
  
• Adrien Ycart (Completed October 2020). PhD Thesis: Music language models for automatic music transcription
  
• Bhusan Chettri (Completed August 2020, co-supervised with Bob Sturm). PhD Thesis: Voice biometric system security: design and analysis of countermeasures for replay attacks
  

PhD Students (second supervisees)

• Alessandro Ragano (University College Dublin, Completed December 2022) Topic: Data-driven quality of experience for digital audio archives
  
• Rémi de Fleurian (Completed October 2022) Topic: Predicting pleasurable moments in music
  
• Emir Demirel (Completed June 2022) Topic: Deep neural networks for automatic lyrics transcription
  
• Marco A. Martinez Ramirez (Completed January 2021). PhD Thesis: Deep Learning for Audio Effects Modeling
  
• Saumitra Mishra (Completed October 2020). PhD Thesis: Interpretable machine learning for machine listening
  
• Peter Harrison (Completed May 2020). PhD Thesis: Modelling the perception and composition of Western musical harmony
  
• 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

• Callum Goddard (Mar. - Aug. 2022). Project: Deep learning technologies for multi-instrument automatic music transcription
  
• Callum Goddard (Mar. - Aug. 2021). Project: Automatic guitar tutoring prototype
  
• 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

• Dr Jose J. Valero-Mas (University of Alicante, Spain, May - Jul. 2015, Oct. - Nov. 2016, May - Sep. 2022).
  
• Dr Yanxiong Li (South China University of Technology, China, April-May 2022).
  
• Ester Vidaña Vila (Universitat Ramon Llull, Spain, June-July 2020).
  
• Hideo Daikoku (Keio University, Japan, Dec. 2019).
  
• Roberto Piassi Passos 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).
  
• Juan Jose Bosch Vicente (Universitat Pompeu Fabra, Spain, Sep. - Dec. 2015).