Technical Reports - Query Results
Your query term was 'number = 2009-04'1 report found
- OFAI-TR-2009-04 (
2kB PDF file)A Fast Audio Similarity Retrieval Method for 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. Overall the method accelerates
the search for similar music pieces 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, Audio Similarity
- 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. Overall the method accelerates
the search for similar music pieces 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.