Technical Reports - Query Results
Your query term was 'number = 2009-03'1 report found
- OFAI-TR-2009-03 (
168kB PDF file)A Filter-and-Refine Indexing Method for Fast Similarity Search in Millions of Music Tracks
- Dominik Schnitzer, Arthur Flexer, Gerhard Widmer
- We present a filter-and-refine method to speed up acoustic
audio similarity queries which use the Kullback-Leibler
divergence as similarity measure. The proposed method
rescales the divergence and uses a modified FastMap
implementation to accelerate nearest-neighbor queries.
The search for similar music pieces is accelerated by a factor
of 10-30 compared to a linear scan but still offers high
recall values (relative to a linear scan) of 95 - 99%.
We show how the proposed method can be used to query
several million songs for their acoustic neighbors very fast
while producing almost the same results that a linear scan
over the whole database would return. We present a working
prototype implementation which is able to process similarity
queries on a 2,5 million songs collection in about
half a second on a standard CPU.
Keywords: Music Information Retrieval, Indexing,
- We present a filter-and-refine method to speed up acoustic
audio similarity queries which use the Kullback-Leibler
divergence as similarity measure. The proposed method
rescales the divergence and uses a modified FastMap
implementation to accelerate nearest-neighbor queries.
The search for similar music pieces is accelerated by a factor
of 10-30 compared to a linear scan but still offers high
recall values (relative to a linear scan) of 95 - 99%.
We show how the proposed method can be used to query
several million songs for their acoustic neighbors very fast
while producing almost the same results that a linear scan
over the whole database would return. We present a working
prototype implementation which is able to process similarity
queries on a 2,5 million songs collection in about
half a second on a standard CPU.