{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T19:42:02Z","timestamp":1730230922360,"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\/icassp43922.2022.9746229","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:50:34Z","timestamp":1651074634000},"page":"4188-4192","source":"Crossref","is-referenced-by-count":1,"title":["Data Incubation \u2014 Synthesizing Missing Data for Handwriting Recognition"],"prefix":"10.1109","author":[{"given":"Jen-Hao Rick","family":"Chang","sequence":"first","affiliation":[{"name":"Apple"}]},{"given":"Martin","family":"Bresler","sequence":"additional","affiliation":[{"name":"Apple"}]},{"given":"Youssouf","family":"Chherawala","sequence":"additional","affiliation":[{"name":"Apple"}]},{"given":"Adrien","family":"Delaye","sequence":"additional","affiliation":[{"name":"Apple"}]},{"given":"Thomas","family":"Deselaers","sequence":"additional","affiliation":[{"name":"Apple"}]},{"given":"Ryan","family":"Dixon","sequence":"additional","affiliation":[{"name":"Apple"}]},{"given":"Oncel","family":"Tuzel","sequence":"additional","affiliation":[{"name":"Apple"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Unconstrained on-line handwriting recognition with re-current neural networks","author":"graves","year":"2008","journal-title":"NeurIPS"},{"key":"ref11","first-page":"911","article-title":"Deep BLSTM neural networks for unconstrained continuous  2006 handwritten text recognition","author":"frinken","year":"2015","journal-title":"ICDAR"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00881"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00112"},{"article-title":"Generating sequences with recurrent neural networks","year":"2013","author":"graves","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173779"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_45"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00090"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW53098.2021.00338"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CISP-BMEI51763.2020.9263564"},{"key":"ref4","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1109\/MC.2007.314","article-title":"Handwriting recognition: Tablet PC text input","volume":"40","author":"james","year":"2007","journal-title":"IEEE Computer"},{"key":"ref3","article-title":"Combining neural networks and context-driven search for on-line, printed handwriting recognition in the newton","author":"larry","year":"1998","journal-title":"AI Magazine"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/PL00013559"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2572693"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/34.824821"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143891"},{"article-title":"Style equalization: Unsupervised learning of controllable generative sequence models","year":"2021","author":"chang","key":"ref2"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10032-020-00350-4"},{"key":"ref1","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"tan","year":"2019","journal-title":"ICML"},{"article-title":"Training neural speech recognition systems with synthetic speech augmentation","year":"2018","author":"li","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414778"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ASRU46091.2019.9003990"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1198\/016214508000001057"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2018.8639589"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_14"},{"article-title":"Marginal likelihood computation for model selection and hypothesis testing: an extensive review","year":"2020","author":"llorente","key":"ref25"}],"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\/09746229.pdf?arnumber=9746229","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T16:12:40Z","timestamp":1661184760000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746229\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746229","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}