{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T10:25:12Z","timestamp":1782815112621,"version":"3.54.5"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2020YFC2004003"],"award-info":[{"award-number":["2020YFC2004003"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001215"],"award-info":[{"award-number":["62001215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3350809","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T20:25:52Z","timestamp":1704745552000},"page":"296-300","source":"Crossref","is-referenced-by-count":8,"title":["An Attention-Based Time-Frequency Pyramid Pooling Strategy in Deep Convolutional Networks for Acoustic Scene Classification"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1738-1455","authenticated-orcid":false,"given":"Pengxu","family":"Jiang","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4289-4503","authenticated-orcid":false,"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cairong","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5000-2966","authenticated-orcid":false,"given":"Qingyun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information and Communication Engineering, Nanjing Institute of Technology, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7532497"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2006.75"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICME.2006.262661"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCSP48568.2020.9182160"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IWAENC.2018.8521242"},{"key":"ref6","first-page":"56","article-title":"Acoustic scene classification in dcase 2020 challenge: Generalization across devices and low complexity solutions","volume-title":"Proc. Detection Classification Acoust. Scenes Events Workshop","author":"Heittola","year":"2020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2020.2996085"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3130502"},{"key":"ref9","article-title":"CP-JKU submission to dcase22: Distilling knowledge for low-complexity convolutional neural networks from a patchout audio transformer","author":"Schmid","year":"2022"},{"key":"ref10","article-title":"Submission to DCASE 2023 task 1: Device invariant training with structured filter pruning for low complexity acoustic scene classification","author":"Schmidt","year":"2023"},{"key":"ref11","article-title":"QTI submission to DCASE 2021: Residual normalization for device-imbalanced acoustic scene classification with efficient design","author":"Kim","year":"2021"},{"key":"ref12","article-title":"Hyu submission for the DCASE 2022: Efficient fine-tuning method using device-aware data-random-drop for device-imbalanced acoustic scene classification","author":"Lee","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414835"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3145336"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IALP48816.2019.9037692"},{"key":"ref16","article-title":"Acoustic scene classification using various pre-processed features and convolutional neural networks","author":"Hyeji","year":"2019"},{"key":"ref17","article-title":"Acoustic scene classification with multiple decision schemes","author":"Wang","year":"2020"},{"key":"ref18","article-title":"Device-robust acoustic scene classification based on two-stage categorization and data augmentation","author":"Hu","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3426020.3426100"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683434"},{"key":"ref21","article-title":"Mobilenet using coordinate attention and fusions for low-complexity acoustic scene classification with multiple devices","author":"Seo","year":"2021"},{"key":"ref22","article-title":"Network in network","author":"Lin","year":"2014"},{"key":"ref23","article-title":"Acoustic scene classification using deep residual networks with late fusion of separated high and low frequency paths","author":"Gao","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1587\/transfun.2022EAL2091"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389824"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00083"},{"key":"ref27","first-page":"9","article-title":"A multi-device dataset for urban acoustic scene classification","volume-title":"Proc. Detection Classification Acoust. Scenes Events Workshop","author":"Mesaros","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683288"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413498"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TEVC.2022.3185543"},{"key":"ref31","article-title":"Acoustic scene classification using multi-scale features","author":"Liping","year":"2018"},{"key":"ref32","article-title":"Convolutional neural networks and x-vector embedding for dcase2018 acoustic scene classification challenge","author":"Zeinali","year":"2018"},{"key":"ref33","article-title":"Acoustic scene classification using attention-based convolutional neural network","author":"Liang","year":"2019"},{"key":"ref34","article-title":"Acoustic scene classification based on the dataset with deep convolutional generated against network","author":"FangLi","year":"2019"},{"key":"ref35","article-title":"Integrating the data augmentation scheme with various classifiers for acoustic scene modeling","author":"Chen","year":"2019"},{"key":"ref36","article-title":"Acoustic scene classification and audio tagging with receptive-field-regularized CNNs","author":"Koutini","year":"2019"},{"key":"ref37","article-title":"Robust feature learning for acoustic scene classification with multiple devices","author":"Wu","year":"2020"},{"key":"ref38","article-title":"Low-complexity acoustic scene classification for multi-device audio: Analysis of dcase 2021 challenge systems","author":"Martn-Morat","year":"2021"},{"key":"ref39","article-title":"Low-complexity acoustic scene classification in dcase 2022 challenge","author":"Martn-Morat","year":"2022"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/10380231\/10382613.pdf?arnumber=10382613","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,19]],"date-time":"2024-01-19T18:23:35Z","timestamp":1705688615000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10382613\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3350809","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}