{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T10:03:36Z","timestamp":1764842616397,"version":"3.28.0"},"reference-count":24,"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\/icassp43922.2022.9746553","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:50:34Z","timestamp":1651074634000},"page":"7377-7381","source":"Crossref","is-referenced-by-count":9,"title":["Raw Source and Filter Modelling for Dysarthric Speech Recognition"],"prefix":"10.1109","author":[{"given":"Zhengjun","family":"Yue","sequence":"first","affiliation":[{"name":"King&#x2019;s College London,Department of Engineering,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erfan","family":"Loweimi","sequence":"additional","affiliation":[{"name":"King&#x2019;s College London,Department of Engineering,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zoran","family":"Cvetkovic","sequence":"additional","affiliation":[{"name":"King&#x2019;s College London,Department of Engineering,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413727"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-53"},{"key":"ref12","first-page":"121","article-title":"Digital processing of speech signals prentice hall","author":"rabiner","year":"1978","journal-title":"New Jersey"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1980.1163420"},{"key":"ref14","first-page":"1644","article-title":"Raw sign and magnitude spectra for multi-head acoustic modelling","author":"loweimi","year":"2020","journal-title":"InterSpeech"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TETCI.2017.2762739"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-011-9145-0"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683713"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU.2013.6707742"},{"key":"ref19","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"The Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683091"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3091805"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.csl.2019.05.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2013-324"},{"key":"ref8","first-page":"1","article-title":"Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition","author":"xiong","year":"2018","journal-title":"IEEE Speech Communication"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054694"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1751"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1044\/jshr.1203.462"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EUSIPCO.2015.7362616"},{"key":"ref20","article-title":"Layer normalization","author":"ba","year":"2016","journal-title":"NIPS Deep Learning Symposium"},{"key":"ref22","article-title":"Rmsprop: Divide the gradient by a running average of its recent magnitude. coursera: Neural networks for machine learning","author":"tieleman","year":"2012","journal-title":"COURSERA Neural Networks for Machine Learning"},{"key":"ref21","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"International Conference on Machine Learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054343"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2020-2746"}],"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\/09746553.pdf?arnumber=9746553","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T16:10:24Z","timestamp":1660579824000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746553\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746553","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}