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ICASSP
2008
IEEE

Fast query by example of environmental sounds via robust and efficient cluster-based indexing

10 years 6 months ago
Fast query by example of environmental sounds via robust and efficient cluster-based indexing
There has been much recent progress in the technical infrastructure necessary to continuously characterize and archive all sounds, or more precisely auditory streams, that occur within a given space or human life. Efficient and intuitive access, however, remains a considerable challenge. In specifically musical domains, i.e., melody retrieval, query-by-example (QBE) has found considerable success in accessing music that matches a specific query. We propose an extension of the QBE paradigm to the broad class of natural and environmental sounds, which occur frequently in continuous recordings. We explore several cluster-based indexing approaches, namely nonnegative matrix factorization (NMF) and spectral clustering to efficiently organize and quickly retrieve archived audio using the QBE paradigm. Experiments on a test database compare the performance of the different clustering algorithms in terms of recall, precision, and computational complexity. Initial results indicate signifi...
Jiachen Xue, Gordon Wichern, Harvey D. Thornburg,
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Jiachen Xue, Gordon Wichern, Harvey D. Thornburg, Andreas Spanias
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