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Acoustic scene classification using recurrence quantification analysis
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 Title & Authors
Acoustic scene classification using recurrence quantification analysis
Park, Sangwook; Choi, Woohyun; Ko, Hanseok;
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Since a variety of sound occur in same place and similar sound occurs in other places, the performance of acoustic scene classification is not guaranteed in case of insufficient training data. A Bag of Words (BOW) based histogram feature is foreseen as a method to overcome the problem. However, since the histogram features is made by using a feature distribution, the ordering of sequence of features is ignored. A temporal information such as periodicity and stationarity are also important for acoustic scene classification. In this paper, temporal features about a periodicity and a stationarity are extracted by using a recurrent quantification analysis. In the experiment, performance of the proposed method is shown better than other baseline methods.
Acoustic scene classification;Bag of Words (BOW);Recurrence quantification analysis;Support vector machine;
 Cited by
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