Abstract

This paper presents an algorithm that efficiently retrieves audio data similar to an audio query. The proposed method utilises a feature extraction method for acoustical music sequences. The extracted features are grouped by Minimum Bounding Rectangles (MBRs) and indexed by means of a spatial access method. We also present a novel false alarm resolution method that utilises a reverse order schema while calculating the distance of the query and results, in order to avoid costly operations. Performance evaluation results show that the proposed technique achieves considerable performance improvement in comparison to an existing method.

Keywords:
Computer science Search engine indexing Bounding overwatch Schema (genetic algorithms) Music information retrieval Feature extraction Data mining Artificial intelligence Pattern recognition (psychology) Information retrieval

Metrics

27
Cited By
3.88
FWCI (Field Weighted Citation Impact)
25
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Music and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Speech and Audio Processing
Physical Sciences →  Computer Science →  Signal Processing
Music Technology and Sound Studies
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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