Development of the Opaque Feature File ontology is incomplete at the time of writing, but this or a similar system will be a valuable foundation for work using a mixture of RDF description with more compact data formats. Sonic Visualiser (figure 3) is an application for visualisation, annotation, and automated analysis of audio recordings. It can display one or more audio files in waveform or spectral views, perform automated analysis using Vamp plugins (section 3.1), and import, export, and edit annotations such as point timings (for events like beats), notes, measure- ment curves, and so on while Sonic Annotator (discussed in section 3.2) is a tool for batch analysis of audio collections, Sonic Visualiser is an interactive tool, allowing the addition and display of annotations from human subjects alongside or on top of the audio and automated analysis. Development began prior to the start of the OMRAS2 project as a means to assist researchers by providing a flexible visualisation tool and a platform for testing and dissemination of implementations of audio feature extraction methods. Sonic Visualiser is written in C++ using the Qt toolkit, with RDF handled using Redland 22 libraries. Sonic Visualiser uses the Vamp plugin format (section 3.1) for automated analysis. During OMRAS2 we added the ability to query Vamp plugin metadata (section 4.2 below) and to import and export annotation data using the Audio Features ontology, providing compatibility in both plugin and data formats with Sonic Annotator. (Indeed, Sonic Visualiser is actually a set of modular libraries for building visualisation and analysis applications as well as an application in its own right Sonic Annotator is a simpler application of the same libraries.) This provides quite a lot of power. Sonic Visualiser can import RDF descriptions of audio features, and also load both audio and annotation data from non-local HTTP URLs as well as from local storage.
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