Environmental Background Sounds Classification Based on Properties of Feature Contours
In this paper, an approach to environmental sound recognition (ESR) by using properties of feature trajectories is presented. To determine the discriminative attributes of background sounds, several audio classes have been analysed. Selected groups of sounds reflect the acoustical environments that may occur in real sound acquisition situations. We proposed the feature extraction scheme, where obtained trajectories at parameterization stage are further processed in order to improve classification accuracy. A discriminatory analysis of popular audio features for ESR task has been performed. Obtained results show that proposed technique gives promising classification results and can be applied in systems where properly identified audio scene can improve other audio processing tasks.
Keywordsenvironmental sounds recognition ESR feature contours audio classification
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