I am currently working as a consultant for TIDO and as Post-Doc at City, University of London. Have a look on the right for my recent publications. My research interests include the following topics within music information retrieval and bioacoustics:
- computational (ethno)musicology
- digital humanities
- biometrics, ecg and ppg signals
- raspberry pi, arduiono and the internet of things
- automatic score following
- big data technologies on large music datasets
- social tagging and folksonomies
- human computation
- automatic animal sound detection
Have a look at my Google Scholar site for my publications.
The Digital Music Lab
An AHRC Digital Transformations Project
During my post-doctoral research at City University I worked on the DML and ASyMMus projects. Both part of the Big Data call of the Digital Transformations in the Arts and Humanities Theme we created a methodology and infrastructure including a web interface and API for remote extraction and access of analysis results from datasets provided by the British Library, I Like Music and the CHARM project.
Spot The Odd Song Out
Similarity Model Adaptation and Analysis using Relative Human Ratings
I have recently finished my PhD thesis within the Music Informatics Research Group at City University London. You can read more about the thesis here. A major factor which allowed this project to be successful was our game Spot The Odd Song Out. With Music Technology Group at Universitat Pompeu Fabra, we have developed a flamenco version! You can try the game here.
Detecting Bird Sounds via Periodic Structures
A Robust Pattern Recognition Approach to Unsupervised Animal Monitoring
A basic windows guitar tuner