{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:26:13Z","timestamp":1750220773159,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T00:00:00Z","timestamp":1578009600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,1,3]]},"DOI":"10.1145\/3378904.3378908","type":"proceedings-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T09:49:38Z","timestamp":1586425778000},"page":"35-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Voice Authentication Model for One-time Password Using Deep Learning Models"],"prefix":"10.1145","author":[{"family":"Bella","sequence":"first","affiliation":[{"name":"Universitas Tarumanagara, DKI Jakarta, Indonesia"}]},{"given":"Janson","family":"Hendryli","sequence":"additional","affiliation":[{"name":"Universitas Tarumanagara, DKI Jakarta, Indonesia"}]},{"given":"Dyah Erny","family":"Herwindiati","sequence":"additional","affiliation":[{"name":"Universitas Tarumanagara, DKI Jakarta, Indonesia"}]}],"member":"320","published-online":{"date-parts":[[2020,4,9]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"8","article-title":"Analysis of various features using different temporal derivatives from speech signals","volume":"118","author":"Aggarwal N.","year":"2015","unstructured":"Aggarwal, N. 2015. Analysis of various features using different temporal derivatives from speech signals. Int. J. Comput. Appl. 118, 8 (May. 2015), 1--9.","journal-title":"Int. J. Comput. Appl."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.surg.2015.12.029"},{"volume-title":"Proceedings of the 16th Annual Conference of the International Speech Communication Association (Dresden, Germany, September 6-10, 2015). INTERSPEECH '15. 3274--3278","author":"Chen Z.","key":"e_1_3_2_1_3_1","unstructured":"Chen, Z., Watanabe, S., Erdogan, H., and Hershey, J. R. 2015. Speech enhancement and recognition using multi-task learning of long short-term memory recurrent neural networks. In Proceedings of the 16th Annual Conference of the International Speech Communication Association (Dresden, Germany, September 6-10, 2015). INTERSPEECH '15. 3274--3278."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2005.202"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/BTAS.2017.8272748"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Graves A.","year":"2014","unstructured":"Graves, A. and Jaitly, N. 2014. Towards end-to-end speech recognition with recurrent neural networks. In Proceedings of the International Conference on Machine Learning (Beijing, China, June 21-26, 2014). ICML '14. JMLR, 1764--1772."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7472652"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2015.7404793"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178826"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.25080\/Majora-7b98e3ed-003"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5815\/ijigsp.2016.09.03"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2602884"},{"volume-title":"Proceedings of the 16th Annual Conference of the International Speech Communication Association (Dresden, Germany, September 6-10, 2015). INTERSPEECH '15. 135--139","author":"Ravuri S.","key":"e_1_3_2_1_14_1","unstructured":"Ravuri, S. and Stolcke, A. 2015. Recurrent neural network and LSTM models for lexical utterance classication. In Proceedings of the 16th Annual Conference of the International Speech Communication Association (Dresden, Germany, September 6-10, 2015). INTERSPEECH '15. 135--139."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178838"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/FCVPR.2014.220"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682676"}],"event":{"name":"BDET 2020: 2020 2nd International Conference on Big Data Engineering and Technology","sponsor":["Natl University of Singapore National University of Singapore","Southwest Jiaotong University"],"location":"Singapore China","acronym":"BDET 2020"},"container-title":["Proceedings of the 2020 2nd International Conference on Big Data Engineering and Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3378904.3378908","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3378904.3378908","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:19Z","timestamp":1750200079000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3378904.3378908"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,1,3]]},"references-count":17,"alternative-id":["10.1145\/3378904.3378908","10.1145\/3378904"],"URL":"https:\/\/doi.org\/10.1145\/3378904.3378908","relation":{},"subject":[],"published":{"date-parts":[[2020,1,3]]},"assertion":[{"value":"2020-04-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}