I work with researchers to produce finished software that people want to use.
My job is to make, package, publish, and maintain end-user applications based on research work, and produce new tools to help researchers carry out that work.
I help maintain the SoundSoftware services, providing infrastructure for audio and music researchers who need to develop software. I also provide and coordinate development effort for specific research projects, and offer development support for new research grants.
See also a short position statement about this role.
Currently working on
- The next major release of Sonic Visualiser, a widely used application for viewing and analysing the contents of music audio files.
- A Vamp plugin implementation of an extractor for timbre-invariant pitch features from music audio, with Sebastian Ewert. (code project)
- Sonic Vector, a tool for quick comparative visualisation and navigation of multiple related audio recordings. (code project)
Some other recent work
- Tony, a tool for machine-assisted annotation of pitch and note information from solo singer or monophonic instrumental recordings. With Matthias Mauch and George Fazekas. (code project)
- A Python host for Vamp audio feature extraction plugins. (code project)
- A Vamp plugin implementation of a shift-invariant latent variable model for multiple fundamental frequency estimation and polyphonic note tracking, from Emmanouil Benetos and Simon Dixon. (code project)
- A C++ library and Vamp plugin for quick online constant-Q transforms. Based on work from Christian Schörkhuber and Anssi Klapuri. (code project)
- The Vamp plugin SDK and API.
- Sonic Annotator, a batch tool for feature extraction and annotation of audio files using Vamp plugins.
- The QM Vamp plugin set.
- EasyMercurial, a simple user interface for the Mercurial version control system.
But won't necessarily get the time for
- "Mini Edition" of Sonic Visualiser, with instant access to common visualisations and touch-friendly interface.
- Library and plugin of analytical features for recordings of singing (vibrato rate and extent, vowel classification, etc). Ideally just collecting some existing methods.
- Media player that does a sensible job organising recordings from the traditional classical canon. I made this dataset (related code project) while thinking about this once, but it didn't go far. I'd like to revisit it.