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Automatic Feature Extraction for Classifying Audio Data ...
https://link.springer.com/article/10.1007/s10994-005-5824-7
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.
Automatic feature extraction for classifying audio data …
https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.71.1268
BibTeX @ARTICLE {Mierswa05automaticfeature, author = {Ingo Mierswa and Katharina Morik}, title = {Automatic feature extraction for classifying audio data}, journal = {Machine Learning Journal}, year = {2005}, volume = {58}, pages = {127--149} } Share OpenURL Abstract Abstract.
Automatic Feature Extraction for Classifying Audio …
https://link.springer.com/content/pdf/10.1007%2Fs10994-005-5824-7.pdf
AUTOMATIC FEATURE EXTRACTION FOR CLASSIFYING AUDIO DATA 131 Figure 2.Overlay of two curves, ν1 = 2Hz,a1 = 3 and ν2 = 8Hz,a2 = 1, shown left in time space, right in frequency space after a Fourier transformation. 2.1.1. Frequency space. The goal of Fourier analysis is to write the series (x i)
(PDF) Automatic Feature Extraction for Classifying Audio …
https://www.researchgate.net/publication/225194074_Automatic_Feature_Extraction_for_Classifying_Audio_Data
For audio data classification, four feature sets of audios are evaluated for identifying five kinds of audio classes: classical music, popular music, crowd noise, speech, and simple noise.
Automatic Feature Extraction for Classifying Audio Data
https://sfb876.tu-dortmund.de/PublicPublicationFiles/mierswa_morik_2005a.pdf
Automatic Feature Extraction for Classifying Audio Data Ingo Mierswa and Katharina Morik Arti cial Intelligence Unit, University of Dortmund, Germany Abstract. Today, many private households as well as broadcasting or lm com-panies own large collections of digital music plays. These are time series that di er
Automatic Feature Extraction for Classifying Audio Data ...
https://www.deepdyve.com/lp/springer-journals/automatic-feature-extraction-for-classifying-audio-data-KvNmQ3l2m8
Automatic Feature Extraction for Classifying Audio Data Automatic Feature Extraction for Classifying Audio Data Mierswa, Ingo; Morik, Katharina 2005-01-01 00:00:00 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 …
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