--- _id: '15796' abstract: - lang: eng 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. author: - first_name: Janek full_name: Ebbers, Janek id: '34851' last_name: Ebbers - first_name: Lukas full_name: Drude, Lukas id: '11213' last_name: Drude - first_name: Reinhold full_name: Haeb-Umbach, Reinhold id: '242' last_name: Haeb-Umbach - first_name: Andreas full_name: Brendel, Andreas last_name: Brendel - first_name: Walter full_name: Kellermann, Walter last_name: Kellermann citation: 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: CAMSAP 2019, Guadeloupe, West Indies. ; 2019.' apa: Ebbers, J., Drude, L., Haeb-Umbach, R., Brendel, A., & Kellermann, W. (2019). Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks. CAMSAP 2019, Guadeloupe, West Indies. 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} }' 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 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. mla: Ebbers, Janek, et al. “Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks.” CAMSAP 2019, Guadeloupe, West Indies, 2019. short: 'J. Ebbers, L. Drude, R. Haeb-Umbach, A. Brendel, W. Kellermann, in: CAMSAP 2019, Guadeloupe, West Indies, 2019.' date_created: 2020-02-05T10:20:17Z date_updated: 2023-11-22T08:29:58Z ddc: - '000' department: - _id: '54' file: - access_level: open_access content_type: application/pdf creator: huesera date_created: 2020-02-05T10:21:39Z date_updated: 2020-02-05T10:21:39Z file_id: '15797' file_name: CAMSAP_2019_WS_Ebbers_Paper.pdf file_size: 311887 relation: main_file file_date_updated: 2020-02-05T10:21:39Z has_accepted_license: '1' language: - iso: eng oa: '1' project: - _id: '52' name: Computing Resources Provided by the Paderborn Center for Parallel Computing publication: CAMSAP 2019, Guadeloupe, West Indies quality_controlled: '1' status: public title: Weakly Supervised Sound Activity Detection and Event Classification in Acoustic Sensor Networks type: conference user_id: '34851' year: '2019' ...