{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:02:21Z","timestamp":1760598141683,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9747647","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"9286-9290","source":"Crossref","is-referenced-by-count":7,"title":["Harmonic Gated Compensation Network Plus for ICASSP 2022 DNS Challenge"],"prefix":"10.1109","author":[{"given":"Tianrui","family":"Wang","sequence":"first","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University,Beijing,China"}]},{"given":"Weibin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Information Science, Beijing Jiaotong University,Beijing,China"}]},{"given":"Yingying","family":"Gao","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute,Beijing,China"}]},{"given":"Yanan","family":"Chen","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute,Beijing,China"}]},{"given":"Junlan","family":"Feng","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute,Beijing,China"}]},{"given":"Shilei","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Mobile Research Institute,Beijing,China"}]}],"member":"263","reference":[{"article-title":"A deep learning loss function based on auditory power compression for speech enhancement","year":"2021","author":"wang","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/WASPAA.2017.8169987"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-296"},{"key":"ref13","first-page":"46","article-title":"Dual-path rnn: efficient long sequence modeling for time-domain singlechannel speech separation","author":"luo","year":"2020","journal-title":"IEEE ICASSP"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref15","first-page":"315","article-title":"Deep sparse rectifier neural networks","author":"glorot","year":"2011","journal-title":"Proceedings of the fourteenth international conference on artificial intelligence and statistics JMLR Workshop and Conference Proceedings"},{"key":"ref16","first-page":"448","article-title":"Batch Normalization: Accelerating deep network training by reducing internal covariate shift","volume":"1","author":"ioffe","year":"2015","journal-title":"IMLS ICML"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.123"},{"journal-title":"SWIPE A sawtooth waveform inspired pitch estimator for speech and music","year":"2007","author":"camacho","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1121\/1.1910902"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2537"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MMSP.2018.8547084"},{"article-title":"DeepFilterNet: A low complexity speech enhancement framework for full-band audio based on deep filtering","year":"2021","author":"schr\u00f6ter","key":"ref6"},{"article-title":"S-dccrn: Super wide band dccrn with learnable complex feature for speech enhancement","year":"2021","author":"lv","key":"ref5"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6489"},{"article-title":"Glance and Gaze: A collaborative learning framework for single-channel speech enhancement","year":"2021","author":"li","key":"ref7"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/978-3-030-60276-5_8","article-title":"Data augmentation and loss normalization for deep noise suppression","author":"braun","year":"2020","journal-title":"International Conference on Speech and Computer"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9747521"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682834"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref22","first-page":"46","article-title":"ICASSP 2022 Deep Noise Suppression Challenge","author":"cutler","year":"2022","journal-title":"IEEE ICASSP"},{"article-title":"The interspeech 2020 deep noise suppression challenge: Datasets, subjective speech quality and testing framework","year":"2020","author":"reddy","key":"ref21"},{"key":"ref24","first-page":"755","article-title":"Perceptual evaluation of speech quality (PESQ) the new itu standard for end-to-end speech quality assessment part i–time-delay compensation","volume":"50","author":"rix","year":"2002","journal-title":"Journal of the Audio Engineering Society"},{"key":"ref23","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"ICLRE"},{"article-title":"A crowdsourcing extension of the ITU-T recommendation P.835 with validation","year":"2020","author":"naderi","key":"ref26"},{"key":"ref25","first-page":"2125","article-title":"An algorithm for intelligibility prediction of time– frequency weighted noisy speech","volume":"19","author":"taal","year":"2011","journal-title":"IEEE TASLP"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","start":{"date-parts":[[2022,5,23]]},"location":"Singapore, Singapore","end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09747647.pdf?arnumber=9747647","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T20:14:24Z","timestamp":1661199264000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9747647\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9747647","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}