{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T04:29:28Z","timestamp":1782966568511,"version":"3.54.5"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Abu-Dhabi Department of Education and Knowledge (ADEK) Award for Research Excellence 2019","award":["AARE19-245"],"award-info":[{"award-number":["AARE19-245"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3021061","type":"journal-article","created":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T20:36:51Z","timestamp":1598992611000},"page":"160581-160595","source":"Crossref","is-referenced-by-count":42,"title":["On Learning Spectral Masking for Single Channel Speech Enhancement Using Feedforward and Recurrent Neural Networks"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0010-0629","authenticated-orcid":false,"given":"Nasir","family":"Saleem","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4655-938X","authenticated-orcid":false,"given":"Muhammad Irfan","family":"Khattak","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3629-2987","authenticated-orcid":false,"given":"Muath","family":"Al-Hasan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2903-1612","authenticated-orcid":false,"given":"Abdul Baseer","family":"Qazi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2536478"},{"key":"ref38","first-page":"1","article-title":"Deep neural networks for speech enhancement in complex-noisy environments","volume":"1","author":"saleem","year":"2019","journal-title":"Int J Artif Intell Interact Multimedia"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/GlobalSIP.2014.7032183"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2468583"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2014.6853860"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2013.2250961"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912200"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1121\/1.2920958","article-title":"Computational auditory scene analysis: Principles, algorithms and applications","volume":"124","author":"wang","year":"2008","journal-title":"Acoust Soc Amer J"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2512042"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-22482-4_11"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1121\/1.4754541"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1109\/TASL.2008.2010633","article-title":"A supervised learning approach to monaural segregation of reverberant speech","volume":"17","author":"jin","year":"2009","journal-title":"IEEE Trans Audio Speech Language Process"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1121\/1.4901711"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2008.01.003"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/TASSP.1979.1163209","article-title":"Suppression of acoustic noise in speech using spectral subtraction","volume":"27","author":"boll","year":"1979","journal-title":"IEEE Trans Acoust Speech Signal Process"},{"key":"ref20","first-page":"3","article-title":"Deep neural network for supervised single-channel speech enhancement","volume":"44","author":"saleem","year":"2019","journal-title":"Arch Acoust"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2929864"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/app10082894"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/0-387-22794-6_12"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2020.2979603"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1121\/1.3184603"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2006.09.003"},{"key":"ref50","article-title":"Aurora working group: DSR front end LVCSR evaluation AU\/384\/02","author":"pearce","year":"2002"},{"key":"ref51","first-page":"749","article-title":"Perceptual evaluation of speech quality (PESQ)–A new method for speech quality assessment of telephone networks and codecs","author":"rix","year":"2009","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref58","year":"2017","journal-title":"Cloud Speech API"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2018.06.002"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/IWAENC.2016.7602951"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638240"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2016.2585878"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495701"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2017.10.003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2013.2270369"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2291240"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2817798"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2364452"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2870758"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-190047"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2766675"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2352935"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6639038"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178800"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2873728"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1978.1163086"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/89.701361"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1984.1164453"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1996.543199"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2011.09.003"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1985.1164550"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/0167-6393(93)90095-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ITA.2013.6502979"},{"key":"ref46","first-page":"236","article-title":"Signal estimation from modified short-time Fourier transform","author":"griffin","year":"1999","journal-title":"Proc IEEE Int Conf Acoust Speech Signal Process"},{"key":"ref45","year":"1997","journal-title":"American National Standard Methods for Calculation of the Speech Intelligibility Index"},{"key":"ref48","article-title":"DARPA TIMIT acoustic-phonetic continous speech corpus CD-ROM. NIST speech disc 1-1.1","author":"garofolo","year":"1993"},{"key":"ref47","first-page":"10","article-title":"Fast signal reconstruction from magnitude STFT spectrogram based on spectrogram consistency","author":"le","year":"2008","journal-title":"Proc Int Conf Digital Audio Effects"},{"key":"ref42","first-page":"4125","article-title":"Memory-efficient backpropagation through time","author":"gruslys","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.10.031"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2001923"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2016.0121"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09183987.pdf?arnumber=9183987","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,6]],"date-time":"2023-10-06T17:58:36Z","timestamp":1696615116000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9183987\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":58,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3021061","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}