{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:27:57Z","timestamp":1740122877785,"version":"3.37.3"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T00:00:00Z","timestamp":1588809600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T00:00:00Z","timestamp":1588809600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the Natural Science Foundation of Chongqing City, China","award":["cstc2017jcyjA0893"],"award-info":[{"award-number":["cstc2017jcyjA0893"]}]},{"DOI":"10.13039\/501100011879","name":"Laboratoire d'Excellence en Recherche sur le M\u00e9dicament et l'Innovation Th\u00e9rapeutique","doi-asserted-by":"crossref","award":["csts2017jcyjAX0427"],"award-info":[{"award-number":["csts2017jcyjAX0427"]}],"id":[{"id":"10.13039\/501100011879","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Speech Technol"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1007\/s10772-020-09711-0","type":"journal-article","created":{"date-parts":[[2020,5,7]],"date-time":"2020-05-07T14:02:46Z","timestamp":1588860166000},"page":"443-450","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Speaker recognition based on short utterance compensation method of generative adversarial networks"],"prefix":"10.1007","volume":"23","author":[{"given":"Zhangfang","family":"Hu","sequence":"first","affiliation":[]},{"given":"Yaqin","family":"Fu","sequence":"additional","affiliation":[]},{"given":"Yuan","family":"Luo","sequence":"additional","affiliation":[]},{"given":"Xuan","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Zhiguang","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Hongwei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,7]]},"reference":[{"unstructured":"Abadi, M, et al. (2016). Tensorflow: A system for large-scale machine learning. In Proceedings of the 12th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI}16), pp. 265\u2013283.","key":"9711_CR1"},{"issue":"9","key":"9711_CR8","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1109\/5.628714","volume":"85","author":"JP Campbell","year":"1997","unstructured":"Campbell, J. P. (1997). Speaker recognition: A tutorial. Proceedings of IEEE,85(9), 1437\u20131462.","journal-title":"Proceedings of IEEE"},{"issue":"7","key":"9711_CR2","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1049\/iet-spr.2016.0572","volume":"12","author":"R Chakroun","year":"2018","unstructured":"Chakroun, R., & Frikha, M. (2018). New approach for short utterance speaker identification. IET Signal Processing,12(7), 873\u2013880.","journal-title":"IET Signal Processing"},{"issue":"3","key":"9711_CR3","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1016\/j.csl.2009.01.002","volume":"23","author":"YH Chao","year":"2009","unstructured":"Chao, Y. H., Tsai, W. H., & Wang, H. M. (2009). Improving GMM\u2013UBM speaker verification using discriminative feedback adaptation. Computer Speech & Language,23(3), 376\u2013388.","journal-title":"Computer Speech & Language"},{"key":"9711_CR4","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.specom.2018.10.004","volume":"105","author":"J Guo","year":"2018","unstructured":"Guo, J., Xu, N., Qian, K., et al. (2018). Deep neural network based i-vector mapping for speaker verification using short utterances. Speech Communication,105, 92\u2013102.","journal-title":"Speech Communication"},{"issue":"6","key":"9711_CR5","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1109\/MSP.2015.2462851","volume":"32","author":"JHL Hansen","year":"2015","unstructured":"Hansen, J. H. L., & Hasan, T. (2015). Speaker recognition by machines and humans: A tutorial review. IEEE Signal Processing Magazine,32(6), 74\u201399.","journal-title":"IEEE Signal Processing Magazine"},{"issue":"99","key":"9711_CR6","doi-asserted-by":"publisher","first-page":"5856","DOI":"10.1109\/ACCESS.2018.2792329","volume":"6","author":"AR Heravi","year":"2018","unstructured":"Heravi, A. R., & Hodtani, G. A. (2018). Where does minimum error entropy outperform minimum mean square error? A new and closer look. IEEE Access,6(99), 5856\u20135864.","journal-title":"IEEE Access"},{"doi-asserted-by":"crossref","unstructured":"Isola P., Zhu J. Y., Zhou T., & Efros A. A. (2017). Image-to-image translation with conditional adversarial networks. In Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1125\u20131134.","key":"9711_CR7","DOI":"10.1109\/CVPR.2017.632"},{"issue":"6","key":"9711_CR10","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1109\/TASLP.2016.2544660","volume":"24","author":"L Li","year":"2016","unstructured":"Li, L., Wang, D., Zhang, C., & Suzuki, M. M. (2016). Improving short utterance speaker recognition by modeling speech unit classes. IEEE\/ACM Transactions on Audio Speech & Language Processing,24(6), 1129\u20131139.","journal-title":"IEEE\/ACM Transactions on Audio Speech & Language Processing"},{"issue":"7","key":"9711_CR17","doi-asserted-by":"publisher","first-page":"3244","DOI":"10.1109\/TII.2018.2799928","volume":"14","author":"Z Liu","year":"2018","unstructured":"Liu, Z., Wu, Z., Li, T., et al. (2018). GMM and CNN hybrid method for short utterance speaker recognition. IEEE Transactions on Industrial informatics,14(7), 3244\u20133252.","journal-title":"IEEE Transactions on Industrial informatics"},{"doi-asserted-by":"crossref","unstructured":"Martinez J., Jorge H.,et al. (2012). Speaker recognition using Mel frequency Cepstral Coefficients (MFCC) and vector quantization (VQ) techniques. In Proceedings of the International Conference on Electrical Communications & Computers, pp. 248\u2013251.","key":"9711_CR11","DOI":"10.1109\/CONIELECOMP.2012.6189918"},{"doi-asserted-by":"crossref","unstructured":"Shen P., Lu X., Li S., & Kawai H. (2018). Conditional generative adversarial nets classifier for spoken language identification. In Proceedings of the INTERSPEECH, pp. 2814\u20132818.","key":"9711_CR12","DOI":"10.21437\/Interspeech.2017-553"},{"doi-asserted-by":"crossref","unstructured":"Sueur, J. (2018). Mel-frequency cepstral and linear predictive coefficients. In Proceedings of the Sound Analysis and Synthesis with R, pp. 381\u2013398.","key":"9711_CR13","DOI":"10.1007\/978-3-319-77647-7_12"},{"doi-asserted-by":"crossref","unstructured":"Villalba J., Brummer N., & Dehak N. (2017). Tied variational autoencoder backends for i-vector speaker recognition. In Proceedings of Interspeech, pp. 1004\u20131008.","key":"9711_CR9","DOI":"10.21437\/Interspeech.2017-1018"},{"issue":"3","key":"9711_CR16","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1007\/s00500-014-1561-9","volume":"20","author":"Z Wu","year":"2016","unstructured":"Wu, Z., Yu, Z., Yuan, J., & Zhang, J. (2016). A twice face recognition algorithm. Soft Computing,20(3), 1007\u20131019.","journal-title":"Soft Computing"},{"issue":"5","key":"9711_CR14","first-page":"804","volume":"44","author":"L Zhang","year":"2018","unstructured":"Zhang, L., Zhao, J. Y., Xu-Lun, Y. E., et al. (2018a). Co-operative generative adversarial nets. Zidonghua Xuebao\/acta Automatica Sinica,44(5), 804\u2013810.","journal-title":"Zidonghua Xuebao\/acta Automatica Sinica"},{"doi-asserted-by":"crossref","unstructured":"Zhang J., Inoue N., & Shinoda K. (2018). I-vector transformation using conditional generative adversarial networks for short utterance speaker verification. arXiv preprint arXiv:1804.00290.","key":"9711_CR15","DOI":"10.21437\/Interspeech.2018-1680"}],"container-title":["International Journal of Speech Technology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09711-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10772-020-09711-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10772-020-09711-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,7]],"date-time":"2021-05-07T00:17:08Z","timestamp":1620346628000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10772-020-09711-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,7]]},"references-count":17,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["9711"],"URL":"https:\/\/doi.org\/10.1007\/s10772-020-09711-0","relation":{},"ISSN":["1381-2416","1572-8110"],"issn-type":[{"type":"print","value":"1381-2416"},{"type":"electronic","value":"1572-8110"}],"subject":[],"published":{"date-parts":[[2020,5,7]]},"assertion":[{"value":"5 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}