{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:12:45Z","timestamp":1753884765429,"version":"3.41.2"},"reference-count":29,"publisher":"World Scientific Pub Co Pte Ltd","issue":"13","funder":[{"DOI":"10.13039\/501100010023","name":"Natural Science Research of Jiangsu Higher Education Institutions of China","doi-asserted-by":"publisher","award":["22KJB520032"],"award-info":[{"award-number":["22KJB520032"]}],"id":[{"id":"10.13039\/501100010023","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Nantong Institute of Technology's Second Batch of Middle and Young Backbone Teacher Training Special Project","award":["ZQNGGJS202225"],"award-info":[{"award-number":["ZQNGGJS202225"]}]},{"DOI":"10.13039\/501100018557","name":"Science and Technology Project of Nantong City","doi-asserted-by":"publisher","award":["JC2023075"],"award-info":[{"award-number":["JC2023075"]}],"id":[{"id":"10.13039\/501100018557","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Jiangsu Province University Philosophy and Social Project","award":["2022SJYB1758"],"award-info":[{"award-number":["2022SJYB1758"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:p> To address the issue of low accuracy in speech fatigue recognition (SFR) under small samples, a method for small-sample SFR based on generative adversarial networks (GANs) is proposed. First, we enable the generator and discriminator to adversarially train and learn the features of the samples, and use the generator to generate high-quality simulated samples to expand our dataset. Then, we transfer discriminator parameters to fatigue identification network to accelerate network training speed. Furthermore, we use a bidirectional long short-term memory network (BLSTM) to further learn temporal fatigue features and improve the recognition rate of fatigue. 720 speech samples from a self-made Chinese speech database (SUSP-SFD) were chosen for training and testing. The results indicate\u00a0that compared with traditional SFR methods, like convolutional neural networks (CNNs) and long short-term memory network (LSTM), our method improved the SFR rate by about 2.3\u20136.7%, verifying the effectiveness of the method. <\/jats:p>","DOI":"10.1142\/s0218001424580059","type":"journal-article","created":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T09:56:27Z","timestamp":1726221387000},"source":"Crossref","is-referenced-by-count":0,"title":["Speech Fatigue Recognition Under Small Samples Based on Generative Adversarial Networks and BLSTM"],"prefix":"10.1142","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3370-8960","authenticated-orcid":false,"given":"Shuxi","family":"Chen","sequence":"first","affiliation":[{"name":"School of Computer and Information Engineering, Nantong Institute of Technology, Yongxing Road 211, Nantong 226002, \u00a0P.\u00a0R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianlin","family":"Qiu","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Nantong University, Seyuan Road 9, Nantong 226019, \u00a0P.\u00a0R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Nantong Institute of Technology, Yongxing Road 211, Nantong 226002, \u00a0P.\u00a0R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yifan","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Nantong Institute of Technology, Yongxing Road 211, Nantong 226002, \u00a0P.\u00a0R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Computer Science, Royal Institute of Technology (KTH), Brinellv\u00e4gen 8, 114 28 Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiyang","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Computer and Information Engineering, Nantong Institute of Technology, Yongxing Road 211, Nantong 226002, \u00a0P.\u00a0R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,10,16]]},"reference":[{"key":"S0218001424580059BIB001","first-page":"434","volume-title":"Proc. 8th Int. Conf. Information Science and Digital Content Technology","author":"Cai J.","year":"2012"},{"issue":"4","key":"S0218001424580059BIB002","first-page":"3","volume":"34","author":"Jiang X.","year":"2013","journal-title":"J. Hengyang Normal Univ."},{"key":"S0218001424580059BIB003","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175315"},{"issue":"3","key":"S0218001424580059BIB004","first-page":"262","volume":"45","author":"Li L.","year":"2019","journal-title":"Comput. Eng."},{"key":"S0218001424580059BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2827462"},{"key":"S0218001424580059BIB006","first-page":"9841","volume":"33","author":"H\u00e4rk\u00f6nen E.","year":"2020","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"S0218001424580059BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.displa.2021.102028"},{"key":"S0218001424580059BIB008","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01679-5"},{"issue":"3","key":"S0218001424580059BIB009","first-page":"364","volume":"13","author":"Ding J.","year":"2016","journal-title":"IEEE Geosci Remote Sens. Lett."},{"issue":"3","key":"S0218001424580059BIB010","first-page":"321","volume":"43","author":"Wang K.","year":"2017","journal-title":"Acta Autom. Sin."},{"key":"S0218001424580059BIB011","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001424520037"},{"key":"S0218001424580059BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-6393(96)00044-1"},{"key":"S0218001424580059BIB013","doi-asserted-by":"publisher","DOI":"10.3758\/BF03204561"},{"key":"S0218001424580059BIB014","doi-asserted-by":"publisher","DOI":"10.3357\/AMHP.5134.2019"},{"key":"S0218001424580059BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2809606"},{"key":"S0218001424580059BIB016","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582924"},{"key":"S0218001424580059BIB017","doi-asserted-by":"publisher","DOI":"10.1109\/ICWT50448.2020.9243622"},{"key":"S0218001424580059BIB018","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIAsia.2018.8470341"},{"key":"S0218001424580059BIB019","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT.2006.270865"},{"key":"S0218001424580059BIB021","doi-asserted-by":"publisher","DOI":"10.3390\/app122010252"},{"key":"S0218001424580059BIB022","first-page":"1","volume":"10","author":"Shen Z.","year":"2020","journal-title":"Math. Probl. Eng."},{"issue":"2","key":"S0218001424580059BIB025","first-page":"123","volume":"42","author":"Li X.","year":"2021","journal-title":"J. Instrum. Meters"},{"key":"S0218001424580059BIB026","doi-asserted-by":"publisher","DOI":"10.3390\/aerospace10070584"},{"key":"S0218001424580059BIB027","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001423540253"},{"key":"S0218001424580059BIB028","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/2224\/1\/012023"},{"key":"S0218001424580059BIB030","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2815149"},{"key":"S0218001424580059BIB031","doi-asserted-by":"publisher","DOI":"10.3390\/jmse11081532"},{"key":"S0218001424580059BIB032","doi-asserted-by":"publisher","DOI":"10.3390\/s20041010"},{"key":"S0218001424580059BIB033","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-023-08450-y"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001424580059","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,6]],"date-time":"2024-11-06T05:42:29Z","timestamp":1730871749000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001424580059"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":29,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["10.1142\/S0218001424580059"],"URL":"https:\/\/doi.org\/10.1142\/s0218001424580059","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2024,10]]},"article-number":"2458005"}}