{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T16:44:05Z","timestamp":1765039445421,"version":"3.37.3"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["1617107"],"award-info":[{"award-number":["1617107"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE J. Sel. Top. Signal Process."],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/jstsp.2019.2909077","type":"journal-article","created":{"date-parts":[[2019,4,3]],"date-time":"2019-04-03T22:22:06Z","timestamp":1554330126000},"page":"347-358","source":"Crossref","is-referenced-by-count":31,"title":["Adversarial Training for Speech Super-Resolution"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6259-5925","authenticated-orcid":false,"given":"Sefik Emre","family":"Eskimez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3111-5375","authenticated-orcid":false,"given":"Kazuhito","family":"Koishida","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8334-9974","authenticated-orcid":false,"given":"Zhiyao","family":"Duan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6393(93)90095-3"},{"article-title":"100 nonspeech sounds","year":"2006","author":"hu","key":"ref38"},{"journal-title":"Perceptual Evaluation of Speech Quality (PESQ) An Objective Method for End-to-End Speech Quality Assessment of Narrowband Telephone Networks and Speech Codecs","year":"2001","author":"rix","key":"ref33"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1121\/1.383638"},{"article-title":"Conditional generative adversarial nets","year":"2014","author":"mirza","key":"ref31"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.207"},{"key":"ref37","first-page":"26","article-title":"Lecture 6.5-rmsprop: Divide the gradient by a running average of its recent magnitude","volume":"4","author":"tieleman","year":"2012","journal-title":"Neural Netw Mach Learning"},{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref36"},{"article-title":"TensorFlow: Large-scale machine learning on heterogeneous systems","year":"2015","author":"abadi","key":"ref35"},{"article-title":"Digital audio resampling home page center for computer research in music and acoustics (CCRMA)","year":"0","author":"smith","key":"ref34"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70602-1_5"},{"key":"ref40","first-page":"595","article-title":"Speech enhancement by online non-negative spectrogram decomposition in nonstationary noise environments","author":"duan","year":"0","journal-title":"Proc Annu Conf Int Speech Commun Assoc"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6854773"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2001.940919"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2003.1198872"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2009.03.037"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2017.2761236"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ASPAA.2007.4393004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP.2013.6661924"},{"key":"ref18","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","year":"2015","author":"radford","key":"ref19"},{"journal-title":"Enhanced Variable Rate Codec Speech Service Option 3 68 and 70 for Wideband Spread Spectrum Digital Systems","year":"2007","key":"ref28"},{"article-title":"CSTR VCTK corpus: English multi-speaker corpus for CSTR voice cloning toolkit","year":"2016","author":"veaux","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462588"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1121\/1.3062145"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178801"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/EEEI.2012.6376931"},{"journal-title":"CSR-I (WSJ0) Complete","year":"2007","author":"garofalo","key":"ref5"},{"key":"ref8","first-page":"2018","article-title":"Stabilizing training of generative adversarial networks through regularization","author":"roth","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"article-title":"Audio super resolution using neural networks","year":"2017","author":"kuleshov","key":"ref7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1097\/00003446-199210000-00009"},{"key":"ref9","first-page":"1843","article-title":"Narrowband to wideband conversion of speech using GMM based transformation","author":"park","year":"0","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"year":"1993","key":"ref1","article-title":"Paired comparison test of wideband and narrowband telephony"},{"article-title":"Conditional generative adversarial nets","year":"2014","author":"mirza","key":"ref20"},{"key":"ref22","first-page":"214","article-title":"Wasserstein generative adversarial networks","author":"arjovsky","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","first-page":"3478","article-title":"Which training methods for GANs do actually converge","author":"mescheder","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"journal-title":"DARPA TIMIT Acoustic-phonetic continuous speech corpus","year":"1993","author":"lyons","key":"ref42"},{"article-title":"Amortised map inference for image super-resolution","year":"2016","author":"s\u00f8nderby","key":"ref24"},{"journal-title":"Method for the Subjective Assessment of Intermediate Quality Level of Coding Systems","year":"2003","key":"ref41"},{"key":"ref23","first-page":"5767","article-title":"Improved training of wasserstein GANs","author":"gulrajani","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1984.1164317"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2018.8451714"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.304"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.19"}],"container-title":["IEEE Journal of Selected Topics in Signal Processing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/4200690\/8717740\/8681126-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4200690\/8717740\/08681126.pdf?arnumber=8681126","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:08:16Z","timestamp":1657746496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8681126\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":44,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/jstsp.2019.2909077","relation":{},"ISSN":["1932-4553","1941-0484"],"issn-type":[{"type":"print","value":"1932-4553"},{"type":"electronic","value":"1941-0484"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}