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- Title
Automatic Feature Extraction for Classifying Audio Data.
- Authors
Ingo Mierswa; Katharina Morik
- Abstract
Abstract Today, many private households as well as broadcasting or film companies own large collections of digital music plays. These are time series that differ from, e.g., weather reports or stocks market data. The task is normally that of classification, not prediction of the next value or recognizing a shape or motif. New methods for extracting features that allow to classify audio data have been developed. However, the development of appropriate feature extraction methods is a tedious effort, particularly because every new classification task requires tailoring the feature set anew.
- Subjects
DIGITAL electronics; CLASSIFICATION; DIGITAL media; BROADCASTING industry
- Publication
Machine Learning, 2005, Vol 58, Issue 2-3, p127
- ISSN
0885-6125
- Publication type
Article
- DOI
10.1007/s10994-005-5824-7