OverviewSAWA demonstrates audio feature extraction technology developed at the Center for Digital Music, our standard plugin API for audio analysis and a Semantic Web ontology based representation for returning the results of the analysis. It is primarily aimed at researchers who wish to become familiar with these technologies. SAWA may be used as a batch feature extractor, for example, for automatically generating a small reference data set in RDF format. The resulting files can be loaded in a suitable RDF database and queried over, they may be browsed using a Semantic Web browser (e.g. the OpenLink RDF browser) or loaded and visualised with Sonic Visualiser a tool for studying the content of audio files. [For the more Semantic Web savvy: a suitable machine interface (SPARQL endpoint) for retrieving past result automatically is currently under testing but it is not yet available in this public release...]
Using SAWAYou can upload one or more audio files and select one or more of the available Vamp plugin transforms. (At least one file and one selected transform is required.) The service accepts a number of file formats including .wav and .mp3. The results are returned for each file in RDF or some human readable rendering. Please follow the processing steps outlined below. Note that some steps are optional.
1. Upload one or more music files 2. Uploaded files are optionally identified by using MusicDNS OFA acoustic fingerprint and MusicBrainz. 3. Choose one or more feature extractors (Vamp plugin transforms) 4. Configure feature extractors (optional) 5. Run the feature extractors by pressing the submit button at the bottom of the page 6. Wait for the computation to complete 7. View or download the results in Music Ontology RDF, use an RDF browser such as Tabulator, or load with Sonic Visualiser