{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T16:19:51Z","timestamp":1781194791220,"version":"3.54.1"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"11","license":[{"start":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T00:00:00Z","timestamp":1541030400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Spanish MINECO\/FEDER","award":["TEC2016-80141-P"],"award-info":[{"award-number":["TEC2016-80141-P"]}]},{"name":"Spanish Ministry of Education through the National Program FPU","award":["FPU15\/04161"],"award-info":[{"award-number":["FPU15\/04161"]}]},{"name":"NVIDIA Corporation with the donation of a Titan X GPU"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2018,11]]},"DOI":"10.1109\/lsp.2018.2871419","type":"journal-article","created":{"date-parts":[[2018,9,21]],"date-time":"2018-09-21T22:58:06Z","timestamp":1537570686000},"page":"1680-1684","source":"Crossref","is-referenced-by-count":113,"title":["A Deep Learning Loss Function Based on the Perceptual Evaluation of the Speech Quality"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4874-0166","authenticated-orcid":false,"given":"Juan Manuel","family":"Martin-Donas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9995-3068","authenticated-orcid":false,"given":"Angel Manuel","family":"Gomez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5531-8994","authenticated-orcid":false,"given":"Jose A.","family":"Gonzalez","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8214-6676","authenticated-orcid":false,"given":"Antonio M.","family":"Peinado","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Methods for subjective determination of transmission quality—Series\n P: Telephone transmission quality; methods for objective and subjective assessment of quality","year":"1996"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2005.858005"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2014.02.001"},{"key":"ref11","first-page":"446","article-title":"Perceptual weighting deep neural networks for single-channel speech enhancement","author":"han","year":"0","journal-title":"Proc World Congr Int Control Autom"},{"key":"ref12","first-page":"3738","article-title":"Speech enhancement in multiple-noise conditions using deep neural networks","author":"kumar","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref13","first-page":"1270","article-title":"A perceptually-weighted deep neural network for monaural\n speech enhancement in various background noise conditions","author":"liu","year":"0","journal-title":"Proc Eur Signal Process Conf"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2017.12.002"},{"key":"ref15","first-page":"1","article-title":"Gaussian\n density guided deep neural network for single-channel speech enhancement","author":"chai","year":"0","journal-title":"Proc IEEE Int Workshop Mach Learn Signal Process"},{"key":"ref16","first-page":"2672","article-title":"Generative adversarial nets","volume":"3","author":"goodfellow","year":"0","journal-title":"Proc Advances Neural Inf Process Syst"},{"key":"ref17","first-page":"3642","article-title":"SEGAN:\n Speech enhancement generative adversarial network","author":"pascual","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref18","first-page":"2008","article-title":"Conditional generative adversarial networks for speech enhancement and noise-robust speaker\n verification","author":"michelsanti","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2114881"},{"key":"ref28","first-page":"1","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"0","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2364452"},{"key":"ref27","article-title":"Perceptual metric for speech quality evaluation (PMSQE): Source code and audio examples","author":"mart\u00edn-do\u00f1as","year":"2018"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2352935"},{"key":"ref6","first-page":"136","article-title":"Multiple-target deep learning for LSTM-RNN based speech\n enhancement","author":"sun","year":"0","journal-title":"Proc Hands-Free Speech Commun Micro Arrays"},{"key":"ref29","first-page":"181","article-title":"The AURORA experimental framework for the performance evaluation of speech recognition systems\n under noisy conditions","author":"pearce","year":"0","journal-title":"Proc Int Conf Spoken Lang Process"},{"key":"ref5","first-page":"3768","article-title":"SNR-aware\n convolutional neural network modeling for speech enhancement","author":"fu","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref8","first-page":"3743","article-title":"Perception optimized deep denoising autoencoders for speech enhancement","author":"shivakumar","year":"0","journal-title":"Proc INTERSPEECH"},{"key":"ref7","first-page":"1","article-title":"Dual-channel DNN-based speech enhancement for smartphones","author":"mart\u00edn-do\u00f1as","year":"0","journal-title":"Proc IEEE Int Workshop Multimedia Signal Process"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2013.2250961"},{"key":"ref9","first-page":"1","article-title":"Joint optimization of audible noise suppression and deep neural networks for single-channel\n speech enhancement","author":"han","year":"0","journal-title":"Proc IEEE Int Conf Multimedia Expo"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2013.2291240"},{"key":"ref20","first-page":"5059","article-title":"Monaural\n speech enhancement using deep neural networks by maximizing a short-time objective intelligibility measure","author":"kolbaek","year":"0","journal-title":"Proc Int Conf Acoust Speech Signal Process"},{"key":"ref22","first-page":"5074","article-title":"Perceptually guided speech enhancement\n using deep neural networks","author":"zhao","year":"0","journal-title":"Proc Int Conf Acoust Speech Signal Process"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2821903"},{"key":"ref24","author":"zwicker","year":"1967","journal-title":"Das Ohr als Nachrichtenempfanger"},{"key":"ref23","article-title":"Perceptual evaluation of speech quality (PESQ): An objective method for\n end-to-end speech quality assesment of narrow-band telephone networks and speech codecs","year":"2001"},{"key":"ref26","article-title":"TensorFlow: Large-scale machine learning on\n heterogeneous systems","author":"abadi","year":"2015"},{"key":"ref25","author":"yamagishi","year":"2012"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/97\/8469128\/08468124.pdf?arnumber=8468124","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T11:12:40Z","timestamp":1643195560000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8468124\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11]]},"references-count":31,"journal-issue":{"issue":"11"},"URL":"https:\/\/doi.org\/10.1109\/lsp.2018.2871419","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11]]}}}