Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
Content-Based Classification, Search, and Retrieval of Audio
IEEE MultiMedia
Efficient Similarity Search In Sequence Databases
FODO '93 Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms
Efficient Time Series Matching by Wavelets
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
A fast audio classification from MPEG coded data
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Audio signal representations for indexing in the transform domain
IEEE Transactions on Audio, Speech, and Language Processing
Analysis of Minimum Distances in High-Dimensional Musical Spaces
IEEE Transactions on Audio, Speech, and Language Processing
Union of MDCT Bases for Audio Coding
IEEE Transactions on Audio, Speech, and Language Processing
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We explore similarity search in data compressed and described by adaptive methods of sparse approximation, specifically audio signals. The novelty of this approach is that one circumvents the need to compute and store a database of features since sparse approximation can simultaneously provide a description and compression of data. We investigate extensions to a method previously proposed for similarity search in a homogenous image database using sparse approximation, but which has limited applicability to search heterogeneous databases with variable-length queries -- necessary for any useful audio signal search procedure. We provide a simple example as a proof of concept, and show that similarity search within adapted sparse domains can provide fast and efficient ways to search for data similar to a given query.