{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T19:40:08Z","timestamp":1751139608894,"version":"3.41.0"},"reference-count":27,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1109\/waspaa.2017.8170055","type":"proceedings-article","created":{"date-parts":[[2017,12,13]],"date-time":"2017-12-13T19:38:44Z","timestamp":1513193924000},"page":"359-363","source":"Crossref","is-referenced-by-count":8,"title":["Deep recurrent mixture of experts for speech enhancement"],"prefix":"10.1109","author":[{"given":"Shlomo E.","family":"Chazan","sequence":"first","affiliation":[]},{"given":"Jacob","family":"Goldberger","sequence":"additional","affiliation":[]},{"given":"Sharon","family":"Gannot","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1162\/neco.1991.3.1.79"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1162\/neco.1994.6.2.181"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1109\/ICASSP.2017.7952121"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/ICASSP.1987.1169756"},{"doi-asserted-by":"publisher","key":"ref14","DOI":"10.1109\/89.701367"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1016\/j.specom.2011.02.001"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1007\/978-3-319-22482-4_11","article-title":"Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR","author":"weninger","year":"2015","journal-title":"International Conference on Latent Variable Analysis and Signal Separation"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.21437\/Interspeech.2016-551"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/29.35387"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.1109\/TSA.2002.803420"},{"doi-asserted-by":"publisher","key":"ref4","DOI":"10.1109\/TASL.2013.2250961"},{"key":"ref27","first-page":"862","article-title":"Perceptual evaluation of speech quality (PESQ): An objective method for end-to-end speech quality assessment of narrow-band telephone networks and speech codecs","year":"2001","journal-title":"ITU-T Recommendation ITU-T"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.1109\/LSP.2013.2291240"},{"key":"ref6","article-title":"Deep neural network based supervised speech segregation generalizes to novel noises through large-scale training","author":"wang","year":"2015","journal-title":"Dept of Comput Sci and Eng The Ohio State Univ Columbus OH USA Tech Rep OSU-CISRC-3\/15-TR02"},{"key":"ref5","first-page":"1840","article-title":"On training targets for supervised speech separation","volume":"22","author":"wang","year":"2014","journal-title":"IEEE Trans on Audio Speech and Language Processing"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1109\/IWAENC.2016.7602943"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/TASLP.2016.2618007"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"436","DOI":"10.21437\/Interspeech.2013-130","article-title":"Speech enhancement based on deep denoising autoencoder","author":"lu","year":"2013","journal-title":"InterSpeech"},{"key":"ref9","article-title":"Speech enhancement using a deep mixture of experts","author":"chazan","year":"2017","journal-title":"arXiv preprint arXiv 1703 01281"},{"key":"ref1","doi-asserted-by":"crossref","DOI":"10.1201\/b14529","author":"loizou","year":"2013","journal-title":"Speech Enhancement Theory and Practice"},{"key":"ref20","article-title":"The DARPA TIMIT acoustic-phonetic continuous speech corpus CD-ROM","author":"garofalo","year":"1993","journal-title":"Linguistic Data Consortium Tech Rep"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/JPROC.2013.2252316"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1016\/0167-6393(93)90095-3"},{"key":"ref24","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/TASLP.2014.2304637"},{"key":"ref26","article-title":"ADAM: A method for stochastic optimization","author":"kingma","year":"2014","journal-title":"arXiv preprint arXiv 1412 6980"},{"key":"ref25","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv preprint arXiv 1502 01032"}],"event":{"name":"2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)","start":{"date-parts":[[2017,10,15]]},"location":"New Paltz, NY","end":{"date-parts":[[2017,10,18]]}},"container-title":["2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8125199\/8169982\/08170055.pdf?arnumber=8170055","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,28]],"date-time":"2025-06-28T19:20:24Z","timestamp":1751138424000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8170055\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/waspaa.2017.8170055","relation":{},"subject":[],"published":{"date-parts":[[2017,10]]}}}