{"date_updated":"2023-11-22T08:29:58Z","quality_controlled":"1","file":[{"creator":"huesera","file_size":311887,"relation":"main_file","date_updated":"2020-02-05T10:21:39Z","file_name":"CAMSAP_2019_WS_Ebbers_Paper.pdf","access_level":"open_access","content_type":"application/pdf","file_id":"15797","date_created":"2020-02-05T10:21:39Z"}],"language":[{"iso":"eng"}],"publication":"CAMSAP 2019, Guadeloupe, West Indies","abstract":[{"text":"In this paper we consider human daily activity recognition using an acoustic sensor network (ASN) which consists of nodes distributed in a home environment. Assuming that the ASN is permanently recording, the vast majority of recordings is silence. Therefore, we propose to employ a computationally efficient two-stage sound recognition system, consisting of an initial sound activity detection (SAD) and a subsequent sound event classification (SEC), which is only activated once sound activity has been detected. We show how a low-latency activity detector with high temporal resolution can be trained from weak labels with low temporal resolution. We further demonstrate the advantage of using spatial features for the subsequent event classification task.","lang":"eng"}],"title":"Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks","author":[{"id":"34851","first_name":"Janek","full_name":"Ebbers, Janek","last_name":"Ebbers"},{"full_name":"Drude, Lukas","last_name":"Drude","first_name":"Lukas","id":"11213"},{"id":"242","first_name":"Reinhold","last_name":"Haeb-Umbach","full_name":"Haeb-Umbach, Reinhold"},{"first_name":"Andreas","full_name":"Brendel, Andreas","last_name":"Brendel"},{"full_name":"Kellermann, Walter","last_name":"Kellermann","first_name":"Walter"}],"year":"2019","user_id":"34851","_id":"15796","status":"public","file_date_updated":"2020-02-05T10:21:39Z","date_created":"2020-02-05T10:20:17Z","department":[{"_id":"54"}],"project":[{"name":"Computing Resources Provided by the Paderborn Center for Parallel Computing","_id":"52"}],"citation":{"short":"J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, W. Kellermann, in: CAMSAP 2019, Guadeloupe, West Indies, 2019.","ieee":"J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, and W. Kellermann, “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks,” 2019.","bibtex":"@inproceedings{Ebbers_Drude_Haeb-Umbach_Brendel_Kellermann_2019, title={Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks}, booktitle={CAMSAP 2019, Guadeloupe, West Indies}, author={Ebbers, Janek and Drude, Lukas and Haeb-Umbach, Reinhold and Brendel, Andreas and Kellermann, Walter}, year={2019} }","ama":"Ebbers J, Drude L, Haeb-Umbach R, Brendel A, Kellermann W. Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. In: <i>CAMSAP 2019, Guadeloupe, West Indies</i>. ; 2019.","chicago":"Ebbers, Janek, Lukas Drude, Reinhold Haeb-Umbach, Andreas Brendel, and Walter Kellermann. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” In <i>CAMSAP 2019, Guadeloupe, West Indies</i>, 2019.","mla":"Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” <i>CAMSAP 2019, Guadeloupe, West Indies</i>, 2019.","apa":"Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., &#38; Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. <i>CAMSAP 2019, Guadeloupe, West Indies</i>."},"has_accepted_license":"1","ddc":["000"],"oa":"1","type":"conference"}