{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T09:36:04Z","timestamp":1743068164938,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031534034"},{"type":"electronic","value":"9783031534041"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-53404-1_11","type":"book-chapter","created":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T01:05:44Z","timestamp":1710205544000},"page":"126-136","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on\u00a0U-Net"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1715-0529","authenticated-orcid":false,"given":"Rongxin","family":"Qin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhigang","family":"Lian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,9]]},"reference":[{"issue":"2","key":"11_CR1","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/TASSP.1979.1163209","volume":"27","author":"S Boll","year":"1979","unstructured":"Boll, S.: Suppression of acoustic noise in speech using spectral subtraction. IEEE Trans. Acoust. Speech Signal Process. 27(2), 113\u2013120 (1979)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"issue":"3","key":"11_CR2","first-page":"147","volume":"40","author":"LO Chua","year":"1993","unstructured":"Chua, L.O., Roska, T.: The CNN paradigm. IEEE Trans. Circ. Syst. I Fundam. Theory Appl. 40(3), 147\u2013156 (1993)","journal-title":"IEEE Trans. Circ. Syst. I Fundam. Theory Appl."},{"key":"11_CR3","doi-asserted-by":"crossref","unstructured":"Deng, F., Jiang, T., Wang, X., Zhang, C., Li, Y.: NAAGN: noise-aware attention-gated network for speech enhancement. In: Interspeech, pp. 2457\u20132461 (2020)","DOI":"10.21437\/Interspeech.2020-1133"},{"issue":"6","key":"11_CR4","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1109\/TASSP.1984.1164453","volume":"32","author":"Y Ephraim","year":"1984","unstructured":"Ephraim, Y., Malah, D.: Speech enhancement using a minimum-mean square error short-time spectral amplitude estimator. IEEE Trans. Acoust. Speech Signal Process. 32(6), 1109\u20131121 (1984)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"issue":"10","key":"11_CR5","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TNNLS.2016.2582924","volume":"28","author":"K Greff","year":"2016","unstructured":"Greff, K., Srivastava, R.K., Koutn\u00edk, J., Steunebrink, B.R., Schmidhuber, J.: LSTM: a search space odyssey. IEEE Trans. Neural Networks Learn. Syst. 28(10), 2222\u20132232 (2016)","journal-title":"IEEE Trans. Neural Networks Learn. Syst."},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1016\/j.isprsjprs.2020.12.010","volume":"173","author":"T Kattenborn","year":"2021","unstructured":"Kattenborn, T., Leitloff, J., Schiefer, F., Hinz, S.: Review on convolutional neural networks (CNN) in vegetation remote sensing. ISPRS J. Photogramm. Remote. Sens. 173, 24\u201349 (2021)","journal-title":"ISPRS J. Photogramm. Remote. Sens."},{"issue":"3","key":"11_CR8","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1109\/TASSP.1978.1163086","volume":"26","author":"J Lim","year":"1978","unstructured":"Lim, J., Oppenheim, A.: All-pole modeling of degraded speech. IEEE Trans. Acoust. Speech Signal Process. 26(3), 197\u2013210 (1978)","journal-title":"IEEE Trans. Acoust. Speech Signal Process."},{"key":"11_CR9","doi-asserted-by":"publisher","first-page":"101689","DOI":"10.1016\/j.sysarc.2019.101689","volume":"104","author":"S Mittal","year":"2020","unstructured":"Mittal, S.: A survey on modeling and improving reliability of DNN algorithms and accelerators. J. Syst. Architect. 104, 101689 (2020)","journal-title":"J. Syst. Architect."},{"key":"11_CR10","doi-asserted-by":"crossref","unstructured":"Pan, J., Liu, C., Wang, Z., Hu, Y., Jiang, H.: Investigation of deep neural networks (DNN) for large vocabulary continuous speech recognition: Why DNN surpasses GMMs in acoustic modeling. In: 2012 8th International Symposium on Chinese Spoken Language Processing, pp. 301\u2013305. IEEE (2012)","DOI":"10.1109\/ISCSLP.2012.6423452"},{"key":"11_CR11","unstructured":"Staudemeyer, R.C., Morris, E.R.: Understanding LSTM-a tutorial into long short-term memory recurrent neural networks. arXiv preprint arXiv:1909.09586 (2019)"},{"key":"11_CR12","doi-asserted-by":"crossref","unstructured":"Takeuchi, D., Yatabe, K., Koizumi, Y., Oikawa, Y., Harada, N.: Real-time speech enhancement using equilibriated RNN. In: ICASSP 2020\u20132020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 851\u2013855. IEEE (2020)","DOI":"10.1109\/ICASSP40776.2020.9054597"},{"key":"11_CR13","doi-asserted-by":"crossref","unstructured":"Xiang, Y., Bao, C.: Speech enhancement via generative adversarial LSTM networks. In: 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC), pp. 46\u201350. IEEE (2018)","DOI":"10.1109\/IWAENC.2018.8521353"},{"key":"11_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, J., Zheng, Y., Qi, D., Li, R., Yi, X.: DNN-based prediction model for spatio-temporal data. In: Proceedings of the 24th ACM SIGSPATIAL international conference on advances in geographic information systems, pp. 1\u20134 (2016)","DOI":"10.1145\/2996913.2997016"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","6GN for Future Wireless Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53404-1_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T01:09:56Z","timestamp":1710205796000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53404-1_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031534034","9783031534041"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53404-1_11","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"9 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"6GN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on 6GN for Future Wireless Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shanghai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"gwn2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/5gwn.eai-conferences.org\/2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}