Distortion-aware query-by-example for environmental sounds

Gordon Wiehern, Jiachen Xue, Harvey Thornburg, Andreas Spanias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

There has been much recent progress in the technical infrastructure necessary to continuously characterize and archive all sounds that occur within a given space or human life. Efficient and intuitive access, however, remains a considerable challenge. In other 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. These sounds occur frequently in continuous recordings, and are often difficult for humans to imitate. We utilize a probabilistic QBE scheme that is flexible in the presence of time, level, and scale distortions along with a clustering approach to efficiently organize and retrieve the archived audio. Experiments on a test database demonstrate accurate retrieval of archived sounds, whose relevance to example queries is determined by human users.

Original languageEnglish (US)
Title of host publication2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA
Pages335-338
Number of pages4
DOIs
StatePublished - Dec 1 2007
Event2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA - New Paltz, NY, United States
Duration: Oct 21 2007Oct 24 2007

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Other

Other2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA
CountryUnited States
CityNew Paltz, NY
Period10/21/0710/24/07

ASJC Scopus subject areas

  • Signal Processing

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