{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T01:40:51Z","timestamp":1729647651566,"version":"3.28.0"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9207184","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Loss Functions for Deep Monaural Speech Enhancement"],"prefix":"10.1109","author":[{"given":"Jan","family":"Freiwald","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lea","family":"Schonherr","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher","family":"Schymura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Steffen","family":"Zeiler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dorothea","family":"Kolossa","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TSA.2003.811544"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1162\/089976602317318938"},{"journal-title":"Psychoacoustics Facts and Models","year":"2007","author":"zwicker","key":"ref33"},{"article-title":"Decoupled weight decay regularization","year":"2017","author":"loshchilov","key":"ref32"},{"article-title":"SciPy 1.0–Fundamental Algorithms for Scientific Computing in Python","year":"2019","author":"virtanen","key":"ref31"},{"article-title":"Automatic differentiation in pytorch","year":"2017","author":"paszke","key":"ref30"},{"key":"ref37","first-page":"498","article-title":"Montreal forced aligner: Trainable text-speech alignment using kaldi","author":"mcauliffe","year":"2017"},{"year":"1993","key":"ref36","article-title":"Information Technology – Coding of moving pictures and associated audio for digital storage media at up to 1.5 Mbits\/s – Part3: Audio"},{"article-title":"Imperio: Robust over-the-air adversarial examples against automatic speech recognition systems","year":"2019","author":"sch\u00f6nherr","key":"ref35"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23288"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462593"},{"journal-title":"Recommendations P 862 P 862 1 P 862 2","article-title":"Perceptual evaluation of speech quality (PESQ) version 2.0","year":"2005","key":"ref11"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1121\/1.4806631"},{"key":"ref12","article-title":"End-to-End Multi-Task Denoising for joint SDR and PESQ Optimization","author":"kim","year":"2019","journal-title":"CoRR"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-1599-1_83"},{"key":"ref14","article-title":"Gradient-based training of slow feature analysis by differentiable approximate whitening","author":"sch\u00fcler","year":"2018","journal-title":"CoRR"},{"key":"ref15","first-page":"191","article-title":"Utilizing Slow Feature Analysis for Lipreading","author":"freiwald","year":"0"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30110-3_94"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2019.2938863"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.828896"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2004.1326272"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/HSCMA.2017.7895570"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref3","doi-asserted-by":"crossref","DOI":"10.21437\/Interspeech.2017-1428","article-title":"Segan: Speech enhancement generative adversarial network","author":"pascual","year":"2017"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2369251"},{"key":"ref6","first-page":"1","author":"f\u00e9votte","year":"2018","journal-title":"Single-Channel Audio Source Separation with NMF Divergences Constraints and Algorithms"},{"key":"ref5","article-title":"Dynamic noise aware training for speech enhancement based on deep neural networks","author":"xu","year":"2014","journal-title":"INTER-SPEECH"},{"key":"ref29","article-title":"Spectral subtraction based on minimum statistics","volume":"6","author":"martin","year":"1994","journal-title":"Proc Eur Signal Processing Conf"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462040"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-28551-6_53"},{"article-title":"Common Voice","year":"2019","author":"mozilla","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2010.5495701"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1979.1163209"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30110-3_105"},{"key":"ref22","doi-asserted-by":"crossref","DOI":"10.21437\/Eurospeech.2003-345","article-title":"Factorial models and refiltering for speech separation and denoising","author":"roweis","year":"2003"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2004.03.006"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953224"},{"article-title":"Maracas","year":"2016","author":"santos","key":"ref42"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICSIGSYS.2018.8372770"},{"article-title":"Description of the RSG. 10 noise database","year":"1988","author":"steeneken","key":"ref41"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2870742"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177730491"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2015.2512042"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09207184.pdf?arnumber=9207184","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T06:23:56Z","timestamp":1669011836000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9207184\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9207184","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}