{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T06:45:52Z","timestamp":1762325152477},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"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":[[2021,10,25]]},"DOI":"10.1109\/mlsp52302.2021.9596086","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T17:53:58Z","timestamp":1636998838000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation"],"prefix":"10.1109","author":[{"given":"Femke B.","family":"Gelderblom","sequence":"first","affiliation":[]},{"given":"Tor Andre","family":"Myrvoll","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2016.7471664"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2016-552"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/0471221104"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2010.2052251"},{"key":"ref14","first-page":"1","article-title":"NARA-WPE: A Python package for weighted prediction error dereverberation in Numpy and Tensorflow for online and offline processing","author":"drude","year":"2018","journal-title":"IEEE Speech Communication"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.1997.599651"},{"journal-title":"A High-Accuracy Low-Latency Technique for Talker Localization in Reverberant Environments Using Microphone Arrays","year":"2000","author":"dibiase","key":"ref16"},{"key":"ref17","first-page":"4390","article-title":"Synthetic Data For Dnn-Based Doa Estimation of Indoor Speech,” in","author":"gelderblom","year":"2021","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref4","article-title":"IN-TERSPEECH 2021 ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing","author":"rao","year":"2021","journal-title":"InterSpeech"},{"key":"ref3","first-page":"6623","article-title":"ICASSP 2021 Deep Noise Suppression Challenge","author":"reddy","year":"2021","journal-title":"IEEE International Conference on Acoustics Speech and Signal Processing"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2537"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-3027"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1044\/jshr.3301.149"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-05197-5_28"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-1609"},{"key":"ref1","first-page":"5","article-title":"The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework","author":"reddy","year":"2020","journal-title":"InterSpeech"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2018.2842159"}],"event":{"name":"2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2021,10,25]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2021,10,28]]}},"container-title":["2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9596063\/9596068\/09596086.pdf?arnumber=9596086","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:50:44Z","timestamp":1652187044000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9596086\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/mlsp52302.2021.9596086","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}