Birdsong and C4DM: A survey of UK birdsong and machine recognition for music researchers

Dan Stowell, Mark D. Plumbley · 2011

This technical report reviews the state of the art in machine recognition of UK birdsong, primarily for an audience of music informatics researchers. It briefly describes the signal properties and variability of birdsong, before surveying automatic birdsong recognition methods in the published literature, as well as available software implementations. Music informatics researchers may recognise the majority of the signal representations and machine learning algorithms applied; however the source material has important differences from musical signals (e.g. its temporal structure) which necessitate differences in approach. As part of our investigation we developed a prototype Vamp plugin for birdsong clustering

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