Abstract:
In this paper we present a method to search for environmental sounds in large unstructured databases of user-submitted audio, using a general sound events taxonomy from ecological acoustics. We discuss the use of Support VectorMachines to classify sound recordings according to the taxonomy and describe two use cases for the obtained classificationmodels: a content-based web search interface for a large audio database and a method for segmenting field recordings to assist sound design.