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Challenge on Detection and Classification of Acoustic Scenes and Events ACOUSTIC EVENT DETECTION USING SIGNAL ENHANCEMENT AND SPECTRO-TEMPORAL FEATURE EXTRACTION
| Content Provider | Semantic Scholar |
|---|---|
| Author | Schröder, Jens Cauchi, Benjamin Schädler, Marc René Moritz, Niko Adiloglu, Kamil Anemüller, Jörn Doclo, Simon Kollmeier, Birger Goetze, Stefan |
| Copyright Year | 2013 |
| Abstract | In this paper, an acoustic event detection system is proposed. It consists of a noise reduction signal enhancement step based on the noise power spectral density estimator proposed in [1] and on the noise suppression by [2], a Gabor filterbank feature extraction stage and a two layer hidden Markov model as back-end classifier. Optimization on the development set yields up to a F-Score of 0.73 on frame based and 0.63 on onset and offset based measure. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.aal.fraunhofer.de/content/dam/aal/en/doc/2013_acousti_event_detection_signal_enhancement_spectro_temporal_feature_extraction.pdf |
| Alternate Webpage(s) | http://c4dm.eecs.qmul.ac.uk/sceneseventschallenge/abstracts/OL/SCS.pdf |
| Alternate Webpage(s) | http://www.aal.fraunhofer.de/publications/2013_Schroeder_SCS_13_Acoustic_Event_Detection_using_Signal_Enhancement_and_Spectro-Temporal_Feature_Extraction_AASP_Oldenburg.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |