{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T09:58:24Z","timestamp":1781344704735,"version":"3.54.1"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032292919","type":"print"},{"value":"9783032292926","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T00:00:00Z","timestamp":1781395200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T00:00:00Z","timestamp":1781395200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2027]]},"DOI":"10.1007\/978-3-032-29292-6_16","type":"book-chapter","created":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T09:48:27Z","timestamp":1781344107000},"page":"186-197","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Human-Related Acoustic Event Classification Under Real Background Interference: The Role of\u00a0Controlled Acoustic Dataset Generation"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6907-7798","authenticated-orcid":false,"given":"Daniel","family":"Casta\u00f1o","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-7430-1602","authenticated-orcid":false,"given":"Mirko","family":"Fa\u00f1ez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4191-8438","authenticated-orcid":false,"given":"Javier","family":"Sedano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5217-8826","authenticated-orcid":false,"given":"Juan Luis","family":"Car\u00fas Candas","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2744-786X","authenticated-orcid":false,"given":"Jairo","family":"Ram\u00edrez \u00c1vila","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7142-7544","authenticated-orcid":false,"given":"Enrique A. de la","family":"Cal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,14]]},"reference":[{"key":"16_CR1","doi-asserted-by":"publisher","unstructured":"Amado-Caballero, P., et al.: Audio cough analysis by parametric modelling of weighted spectrograms to interpret the output of convolutional neural networks. In: 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1\u20134 (2024). https:\/\/doi.org\/10.1109\/EMBC53108.2024.10781781","DOI":"10.1109\/EMBC53108.2024.10781781"},{"issue":"2","key":"16_CR2","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/TAFFC.2015.2457417","volume":"7","author":"F Eyben","year":"2016","unstructured":"Eyben, F., et al.: The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing. IEEE Trans. Affect. Comput. 7(2), 190\u2013202 (2016)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"16_CR3","doi-asserted-by":"publisher","unstructured":"Fonseca, E., Favory, X., Pons, J., Font, F., Serra, X.: FSD50K: an open dataset of human-labeled sound events. IEEE\/ACM Trans. Audio Speech Lang. Process. 30, 829\u2013852 (2022). https:\/\/doi.org\/10.1109\/TASLP.2021.3133208","DOI":"10.1109\/TASLP.2021.3133208"},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"Gemmeke, J.F., et al.: Audio set: an ontology and human-labeled dataset for audio events. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 776\u2013780 (2017)","DOI":"10.1109\/ICASSP.2017.7952261"},{"key":"16_CR5","doi-asserted-by":"crossref","unstructured":"Gougeh, R.A., Zhang, N., Zilic, Z.: Optimizing auditory immersion safety on edge devices: an on-device sound event detection system. In: Proceedings of The Speaker and Language Recognition Workshop (Odyssey 2024), pp. 225\u2013231 (2024). 10.21437\/Odyssey.2024\u201332","DOI":"10.21437\/odyssey.2024-32"},{"issue":"2","key":"16_CR6","doi-asserted-by":"publisher","first-page":"318","DOI":"10.1109\/TPAMI.2018.2858826","volume":"42","author":"TY Lin","year":"2020","unstructured":"Lin, T.Y., Goyal, P., Girshick, R., He, K., Doll\u00e1r, P.: Focal loss for dense object detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(2), 318\u2013327 (2020). https:\/\/doi.org\/10.1109\/TPAMI.2018.2858826","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"16_CR7","doi-asserted-by":"publisher","unstructured":"Luque, A., Carrasco, A., Mart, A., de las Heras, A.: The impact of class imbalance in classification performance metrics based on the binary confusion matrix. Patt. Recogn. 91, 216\u2013231 (2019). https:\/\/doi.org\/10.1016\/j.patcog.2019.02.023","DOI":"10.1016\/j.patcog.2019.02.023"},{"key":"16_CR8","unstructured":"Mesaros, A., Heittola, T., Virtanen, T., et al.: DCASE 2017 challenge setup: tasks, datasets and baseline system. In: Proceedings of the Detection and Classification of Acoustic Scenes and Events 2017 Workshop (DCASE2017), pp. 85\u201392 (2017)"},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Mesaros, A., Serizel, R., Heittola, T., Virtanen, T., Plumbley, M.D.: A decade of DCASE: achievements, practices, evaluations and future challenges arXiv preprint arXiv:2410.04951 (2024)","DOI":"10.1109\/ICASSP49660.2025.10887673"},{"key":"16_CR10","doi-asserted-by":"crossref","unstructured":"Salamon, J., MacConnell, D., Cartwright, M., Li, P., Bello, J.P.: Scaper: a Library for soundscape synthesis and augmentation. In: 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), pp. 344\u2013348 (2017)","DOI":"10.1109\/WASPAA.2017.8170052"},{"key":"16_CR11","unstructured":"Tan, M., Le, Q.V.: EfficientNet: rethinking model scaling for convolutional neural networks. In: Proceedings of the 36th International Conference on Machine Learning. PMLR, vol. 97, pp. 6105\u20136114 (2019)"},{"key":"16_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115222","volume":"182","author":"J Wainer","year":"2021","unstructured":"Wainer, J., Cawley, G.: Nested cross-validation when selecting classifiers is overzealous for most practical applications. Expert Syst. Appl. 182, 115222 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.115222","journal-title":"Expert Syst. Appl."}],"container-title":["Lecture Notes in Computer Science","Hybrid Artificial Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-29292-6_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T09:48:30Z","timestamp":1781344110000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-29292-6_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,14]]},"ISBN":["9783032292919","9783032292926"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-29292-6_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,14]]},"assertion":[{"value":"14 June 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HAIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Hybrid Artificial Intelligence Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Marbella","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 June 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 June 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hais2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/haisconference.eu","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}