A selected collection of my to-date publications and essays. The division into the two categories of culture and tools serves an attempt to integrate the sciences of cultural studies, musicology, bioacoustics, and informatics into a pragmatical scheme.
Culture-Aware Music Recommendation
Current PhD Studies at City University London
I am currently working on my PhD thesis within the Music Informatics Research Group at City University London. My current research interests include the following topics within music information retrieval and bioacoustics:
- discoursive analysis of music culture
- music similarity modelling
- social tagging and folksonomies
- human computation
- automatic animal sound detection
Follow the research RSS or look here for further publications and more detailed information about my studies in London.
Detecting Bird Sounds via Periodic Structures
A Robust Pattern Recognition Approach to Unsupervised Animal Monitoring
My diploma thesis evolved during a collaborative project of the Multimedia Signal Processing Group of Bonn University and the Animal Sound Archive in Berlin. (Long term) monitoring recordings have been performed in a nature conservation area at Parstein Lake, Brandenburg, Germany. Besides a general description of the Project, the thesis focuses on general signal processing algorithms for bird songs featuring periodic structures. These are currently used to identify the Savi’s Warbler
calls within such recordings. Furthermore, techniques are provided for the analysis of more complex rhythmic structures. The design of the algorithms heavily orients towards robust recognition of the repetitive song, as the undirected recordings are subject to varying grades of (weather-induced) noise. Key technologies include: FFT, Novelty Curves, Autocorrelation, Hidden Markov Models.
calls within such recordings. Furthermore, techniques are provided for the analysis of more complex rhythmic structures. The design of the algorithms heavily orients towards robust recognition of the repetitive song, as the undirected recordings are subject to varying grades of (weather-induced) noise. Key technologies include: FFT, Novelty Curves, Autocorrelation, Hidden Markov Models.
Wuner
A basic windows guitar tuner
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