AudioDB is a feature vector database management system that is optimized for passage-level retrieval from very large collections (1M+ tracks). It supports sequence-of-vectors searching on large databases. Developed by Michael Casey and Christophe Rhodes as part of Goldsmiths' OMRAS2 development.
Features:
Exhaustively search for matching feature sequences across tracks
Scales to searching over millions of tracks in milliseconds
Locality-sensitive hashing (LSH) indexing and retrieval engine
Automatic LSH parameter estimation for optimal performance
Search high-dimensional vector sequences
Efficient nearest-neighbour reporting of LSH results
Command-line and Web services interfaces (over SOAP)
Library and C API for developers
Result format supports arbitrary primary key formats (e.g. URI, RDF)